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Go to Daily Deals SectionERD Mobile Earphone
ERD Mobile Earphone
ERD Mobile Earphones are budget-friendly, wired earphones designed for daily use with mobile phones, tablets, and other audio devices. ERD is an Indian electronics and accessories brand known for offering cost-effective mobile accessories such as chargers, power banks, cables, and earphones. Their earphones are crafted to deliver decent sound quality at a very affordable price point, making them a popular choice among students and casual users.
Design and Build Quality:
ERD earphones usually feature a lightweight and compact design. They are made of durable plastic with rubberized or soft silicone ear tips that ensure a snug fit in the ear. The earphones come in various models, with some offering an in-ear canal design for better noise isolation. While they are not premium in build, they are fairly sturdy for everyday use and can withstand rough handling to a reasonable extent.
120W DC 5V-12V Mini Low Voltage ZVS Induction Heating Power Module Tesla Drops Ladder Without faucets with Heating Coil

120W DC 5V-12V Mini Low Voltage ZVS Induction Heating Power Module Tesla Drops Ladder Without faucets with Heating Coil
The 120W DC 5V–12V Mini Low Voltage ZVS Induction Heating Power Module is a compact and efficient device used for small-scale induction heating applications. It operates using Zero Voltage Switching (ZVS) technology, which enhances efficiency and reduces heat loss in switching components. Powered by a 5V to 12V DC input (12V recommended), the module generates high-frequency current through a spiral copper coil.
This alternating magnetic field induces eddy currents in conductive objects placed inside the coil, causing them to heat up rapidly. It’s ideal for tasks like heating metal bolts, small soldering applications, or demonstrating electromagnetic induction principles. Often referred to in hobby circles as a “Tesla drops ladder” setup, it provides safe, low-voltage demonstrations without high-voltage arcs or faucets.
This module is commonly used in DIY electronics, educational kits, and small experiments. For safe operation, it’s important to use an appropriate power supply and always ensure a load is present in the coil.
Transistor Combo Pack – 100 Pcs (5 Popular Types, 20 Each)
This Transistor Combo Pack includes 100 high-quality bipolar junction transistors (BJTs), ideal for electronics enthusiasts, students, and professionals. The pack contains 5 popular transistor types, with 20 pieces each:
2N2222: NPN transistor for switching and low-power amplification.
BC548: General-purpose NPN transistor for amplification and control circuits.
BC558: PNP transistor for analog and switching applications.
BC547: Versatile NPN transistor used in various electronic projects.
BC557: Complementary PNP transistor for signal control and switching.
Each transistor in this pack is suitable for use in amplifiers, logic gates, switches, and microcontroller interfaces. Whether you’re learning the basics of electronics or working on advanced circuits, this pack provides a reliable assortment for multiple applications.
Pulley 22mm with Small Belt
A 22mm pulley with a small belt is a compact and reliable setup commonly used in applications like 3D printers, robotics, and small automation systems. The 22mm dimension typically refers to the pulley’s outer diameter, making it ideal for use in tight spaces where precise motion control is needed. When paired with a small timing belt—such as a GT2 or MXL belt—it ensures accurate, synchronized movement with minimal slippage.
This combination is well-suited for transferring rotary motion between shafts in systems requiring quiet, efficient, and low-maintenance operation. The small belt is often made of rubber with reinforced fibers for strength and flexibility. It wraps tightly around the pulley’s teeth, maintaining grip and accuracy even at high speeds.
Overall, a 22mm pulley with a small belt provides an excellent balance of precision, compact size, and mechanical efficiency, making it perfect for low-load, high-accuracy environments.
Raspberry Pi Camera Module 2 NoIR
The Raspberry Pi Camera Module 2 NoIR is a high-quality 8MP camera designed for Raspberry Pi boards. “NoIR” stands for “No Infrared Filter,” allowing the camera to capture both visible and infrared light. This makes it ideal for night vision, low-light photography, plant monitoring, and scientific projects.
Equipped with the Sony IMX219 sensor, it can capture still images at high resolution and supports video recording at 1080p30, 720p60, and 640x480p90. The camera connects via the Raspberry Pi’s CSI interface for fast, high-quality data transmission directly to the processor.
Thanks to its sensitivity to infrared light, the NoIR camera is perfect for use with IR LEDs to record images in complete darkness. It’s lightweight, compact, and easily integrated into a wide range of projects including home automation, wildlife monitoring, and robotics.
Future House Price Prediction System
Future House Price Prediction System
The Future House Price Prediction System is a machine learning-based tool that forecasts the value of residential properties using historical data and key features such as location, size, number of rooms, and property age. It helps home buyers, sellers, and real estate professionals make data-driven decisions.
Built using Python and ML libraries like Scikit-learn and Pandas, the system uses algorithms like Linear Regression or Random Forest to predict future prices. Users can input property details, and the system outputs an estimated market value.
Advanced versions may include geolocation data, trend analysis, and visual dashboards for deeper insights. The platform can be integrated into a web application using Flask or Django, making it accessible and user-friendly.
This predictive system is valuable for understanding real estate trends, planning investments, and gaining a competitive edge in the property market.
IOT Based Alcohol Detector and Engine Lock system using Arduino

IOT Based Alcohol Detector and Engine Lock system using Arduino
This project aims to design an IoT-based alcohol detection system integrated with an engine lock mechanism using an Arduino microcontroller. The system uses an MQ-3 gas sensor to detect alcohol presence in the driver’s breath. If alcohol is detected beyond a preset threshold, the system activates a relay to lock the engine, preventing the vehicle from starting.
An ESP8266 Wi-Fi module is used to send real-time alerts to a cloud server or mobile app, enabling remote monitoring. The solution enhances vehicle safety by ensuring that only sober individuals can operate the vehicle, helping reduce accidents due to drunk driving.
This smart system is cost-effective, easy to implement, and ideal for personal cars, commercial fleets, and public transport vehicles.
ERD Mobile Earphone
ERD Mobile Earphone
ERD Mobile Earphones are budget-friendly, wired earphones designed for daily use with mobile phones, tablets, and other audio devices. ERD is an Indian electronics and accessories brand known for offering cost-effective mobile accessories such as chargers, power banks, cables, and earphones. Their earphones are crafted to deliver decent sound quality at a very affordable price point, making them a popular choice among students and casual users.
Design and Build Quality:
ERD earphones usually feature a lightweight and compact design. They are made of durable plastic with rubberized or soft silicone ear tips that ensure a snug fit in the ear. The earphones come in various models, with some offering an in-ear canal design for better noise isolation. While they are not premium in build, they are fairly sturdy for everyday use and can withstand rough handling to a reasonable extent.
120W DC 5V-12V Mini Low Voltage ZVS Induction Heating Power Module Tesla Drops Ladder Without faucets with Heating Coil

120W DC 5V-12V Mini Low Voltage ZVS Induction Heating Power Module Tesla Drops Ladder Without faucets with Heating Coil
The 120W DC 5V–12V Mini Low Voltage ZVS Induction Heating Power Module is a compact and efficient device used for small-scale induction heating applications. It operates using Zero Voltage Switching (ZVS) technology, which enhances efficiency and reduces heat loss in switching components. Powered by a 5V to 12V DC input (12V recommended), the module generates high-frequency current through a spiral copper coil.
This alternating magnetic field induces eddy currents in conductive objects placed inside the coil, causing them to heat up rapidly. It’s ideal for tasks like heating metal bolts, small soldering applications, or demonstrating electromagnetic induction principles. Often referred to in hobby circles as a “Tesla drops ladder” setup, it provides safe, low-voltage demonstrations without high-voltage arcs or faucets.
This module is commonly used in DIY electronics, educational kits, and small experiments. For safe operation, it’s important to use an appropriate power supply and always ensure a load is present in the coil.
Transistor Combo Pack – 100 Pcs (5 Popular Types, 20 Each)
This Transistor Combo Pack includes 100 high-quality bipolar junction transistors (BJTs), ideal for electronics enthusiasts, students, and professionals. The pack contains 5 popular transistor types, with 20 pieces each:
2N2222: NPN transistor for switching and low-power amplification.
BC548: General-purpose NPN transistor for amplification and control circuits.
BC558: PNP transistor for analog and switching applications.
BC547: Versatile NPN transistor used in various electronic projects.
BC557: Complementary PNP transistor for signal control and switching.
Each transistor in this pack is suitable for use in amplifiers, logic gates, switches, and microcontroller interfaces. Whether you’re learning the basics of electronics or working on advanced circuits, this pack provides a reliable assortment for multiple applications.
Pulley 22mm with Small Belt
A 22mm pulley with a small belt is a compact and reliable setup commonly used in applications like 3D printers, robotics, and small automation systems. The 22mm dimension typically refers to the pulley’s outer diameter, making it ideal for use in tight spaces where precise motion control is needed. When paired with a small timing belt—such as a GT2 or MXL belt—it ensures accurate, synchronized movement with minimal slippage.
This combination is well-suited for transferring rotary motion between shafts in systems requiring quiet, efficient, and low-maintenance operation. The small belt is often made of rubber with reinforced fibers for strength and flexibility. It wraps tightly around the pulley’s teeth, maintaining grip and accuracy even at high speeds.
Overall, a 22mm pulley with a small belt provides an excellent balance of precision, compact size, and mechanical efficiency, making it perfect for low-load, high-accuracy environments.
Raspberry Pi Camera Module 2 NoIR
The Raspberry Pi Camera Module 2 NoIR is a high-quality 8MP camera designed for Raspberry Pi boards. “NoIR” stands for “No Infrared Filter,” allowing the camera to capture both visible and infrared light. This makes it ideal for night vision, low-light photography, plant monitoring, and scientific projects.
Equipped with the Sony IMX219 sensor, it can capture still images at high resolution and supports video recording at 1080p30, 720p60, and 640x480p90. The camera connects via the Raspberry Pi’s CSI interface for fast, high-quality data transmission directly to the processor.
Thanks to its sensitivity to infrared light, the NoIR camera is perfect for use with IR LEDs to record images in complete darkness. It’s lightweight, compact, and easily integrated into a wide range of projects including home automation, wildlife monitoring, and robotics.
Future House Price Prediction System
Future House Price Prediction System
The Future House Price Prediction System is a machine learning-based tool that forecasts the value of residential properties using historical data and key features such as location, size, number of rooms, and property age. It helps home buyers, sellers, and real estate professionals make data-driven decisions.
Built using Python and ML libraries like Scikit-learn and Pandas, the system uses algorithms like Linear Regression or Random Forest to predict future prices. Users can input property details, and the system outputs an estimated market value.
Advanced versions may include geolocation data, trend analysis, and visual dashboards for deeper insights. The platform can be integrated into a web application using Flask or Django, making it accessible and user-friendly.
This predictive system is valuable for understanding real estate trends, planning investments, and gaining a competitive edge in the property market.
IOT Based Alcohol Detector and Engine Lock system using Arduino

IOT Based Alcohol Detector and Engine Lock system using Arduino
This project aims to design an IoT-based alcohol detection system integrated with an engine lock mechanism using an Arduino microcontroller. The system uses an MQ-3 gas sensor to detect alcohol presence in the driver’s breath. If alcohol is detected beyond a preset threshold, the system activates a relay to lock the engine, preventing the vehicle from starting.
An ESP8266 Wi-Fi module is used to send real-time alerts to a cloud server or mobile app, enabling remote monitoring. The solution enhances vehicle safety by ensuring that only sober individuals can operate the vehicle, helping reduce accidents due to drunk driving.
This smart system is cost-effective, easy to implement, and ideal for personal cars, commercial fleets, and public transport vehicles.
ERD Mobile Earphone
ERD Mobile Earphone
ERD Mobile Earphones are budget-friendly, wired earphones designed for daily use with mobile phones, tablets, and other audio devices. ERD is an Indian electronics and accessories brand known for offering cost-effective mobile accessories such as chargers, power banks, cables, and earphones. Their earphones are crafted to deliver decent sound quality at a very affordable price point, making them a popular choice among students and casual users.
Design and Build Quality:
ERD earphones usually feature a lightweight and compact design. They are made of durable plastic with rubberized or soft silicone ear tips that ensure a snug fit in the ear. The earphones come in various models, with some offering an in-ear canal design for better noise isolation. While they are not premium in build, they are fairly sturdy for everyday use and can withstand rough handling to a reasonable extent.
120W DC 5V-12V Mini Low Voltage ZVS Induction Heating Power Module Tesla Drops Ladder Without faucets with Heating Coil

120W DC 5V-12V Mini Low Voltage ZVS Induction Heating Power Module Tesla Drops Ladder Without faucets with Heating Coil
The 120W DC 5V–12V Mini Low Voltage ZVS Induction Heating Power Module is a compact and efficient device used for small-scale induction heating applications. It operates using Zero Voltage Switching (ZVS) technology, which enhances efficiency and reduces heat loss in switching components. Powered by a 5V to 12V DC input (12V recommended), the module generates high-frequency current through a spiral copper coil.
This alternating magnetic field induces eddy currents in conductive objects placed inside the coil, causing them to heat up rapidly. It’s ideal for tasks like heating metal bolts, small soldering applications, or demonstrating electromagnetic induction principles. Often referred to in hobby circles as a “Tesla drops ladder” setup, it provides safe, low-voltage demonstrations without high-voltage arcs or faucets.
This module is commonly used in DIY electronics, educational kits, and small experiments. For safe operation, it’s important to use an appropriate power supply and always ensure a load is present in the coil.
Transistor Combo Pack – 100 Pcs (5 Popular Types, 20 Each)
This Transistor Combo Pack includes 100 high-quality bipolar junction transistors (BJTs), ideal for electronics enthusiasts, students, and professionals. The pack contains 5 popular transistor types, with 20 pieces each:
2N2222: NPN transistor for switching and low-power amplification.
BC548: General-purpose NPN transistor for amplification and control circuits.
BC558: PNP transistor for analog and switching applications.
BC547: Versatile NPN transistor used in various electronic projects.
BC557: Complementary PNP transistor for signal control and switching.
Each transistor in this pack is suitable for use in amplifiers, logic gates, switches, and microcontroller interfaces. Whether you’re learning the basics of electronics or working on advanced circuits, this pack provides a reliable assortment for multiple applications.
Pulley 22mm with Small Belt
A 22mm pulley with a small belt is a compact and reliable setup commonly used in applications like 3D printers, robotics, and small automation systems. The 22mm dimension typically refers to the pulley’s outer diameter, making it ideal for use in tight spaces where precise motion control is needed. When paired with a small timing belt—such as a GT2 or MXL belt—it ensures accurate, synchronized movement with minimal slippage.
This combination is well-suited for transferring rotary motion between shafts in systems requiring quiet, efficient, and low-maintenance operation. The small belt is often made of rubber with reinforced fibers for strength and flexibility. It wraps tightly around the pulley’s teeth, maintaining grip and accuracy even at high speeds.
Overall, a 22mm pulley with a small belt provides an excellent balance of precision, compact size, and mechanical efficiency, making it perfect for low-load, high-accuracy environments.
Raspberry Pi Camera Module 2 NoIR
The Raspberry Pi Camera Module 2 NoIR is a high-quality 8MP camera designed for Raspberry Pi boards. “NoIR” stands for “No Infrared Filter,” allowing the camera to capture both visible and infrared light. This makes it ideal for night vision, low-light photography, plant monitoring, and scientific projects.
Equipped with the Sony IMX219 sensor, it can capture still images at high resolution and supports video recording at 1080p30, 720p60, and 640x480p90. The camera connects via the Raspberry Pi’s CSI interface for fast, high-quality data transmission directly to the processor.
Thanks to its sensitivity to infrared light, the NoIR camera is perfect for use with IR LEDs to record images in complete darkness. It’s lightweight, compact, and easily integrated into a wide range of projects including home automation, wildlife monitoring, and robotics.
Future House Price Prediction System
Future House Price Prediction System
The Future House Price Prediction System is a machine learning-based tool that forecasts the value of residential properties using historical data and key features such as location, size, number of rooms, and property age. It helps home buyers, sellers, and real estate professionals make data-driven decisions.
Built using Python and ML libraries like Scikit-learn and Pandas, the system uses algorithms like Linear Regression or Random Forest to predict future prices. Users can input property details, and the system outputs an estimated market value.
Advanced versions may include geolocation data, trend analysis, and visual dashboards for deeper insights. The platform can be integrated into a web application using Flask or Django, making it accessible and user-friendly.
This predictive system is valuable for understanding real estate trends, planning investments, and gaining a competitive edge in the property market.
IOT Based Alcohol Detector and Engine Lock system using Arduino

IOT Based Alcohol Detector and Engine Lock system using Arduino
This project aims to design an IoT-based alcohol detection system integrated with an engine lock mechanism using an Arduino microcontroller. The system uses an MQ-3 gas sensor to detect alcohol presence in the driver’s breath. If alcohol is detected beyond a preset threshold, the system activates a relay to lock the engine, preventing the vehicle from starting.
An ESP8266 Wi-Fi module is used to send real-time alerts to a cloud server or mobile app, enabling remote monitoring. The solution enhances vehicle safety by ensuring that only sober individuals can operate the vehicle, helping reduce accidents due to drunk driving.
This smart system is cost-effective, easy to implement, and ideal for personal cars, commercial fleets, and public transport vehicles.
ERD Mobile Earphone
ERD Mobile Earphone
ERD Mobile Earphones are budget-friendly, wired earphones designed for daily use with mobile phones, tablets, and other audio devices. ERD is an Indian electronics and accessories brand known for offering cost-effective mobile accessories such as chargers, power banks, cables, and earphones. Their earphones are crafted to deliver decent sound quality at a very affordable price point, making them a popular choice among students and casual users.
Design and Build Quality:
ERD earphones usually feature a lightweight and compact design. They are made of durable plastic with rubberized or soft silicone ear tips that ensure a snug fit in the ear. The earphones come in various models, with some offering an in-ear canal design for better noise isolation. While they are not premium in build, they are fairly sturdy for everyday use and can withstand rough handling to a reasonable extent.
120W DC 5V-12V Mini Low Voltage ZVS Induction Heating Power Module Tesla Drops Ladder Without faucets with Heating Coil

120W DC 5V-12V Mini Low Voltage ZVS Induction Heating Power Module Tesla Drops Ladder Without faucets with Heating Coil
The 120W DC 5V–12V Mini Low Voltage ZVS Induction Heating Power Module is a compact and efficient device used for small-scale induction heating applications. It operates using Zero Voltage Switching (ZVS) technology, which enhances efficiency and reduces heat loss in switching components. Powered by a 5V to 12V DC input (12V recommended), the module generates high-frequency current through a spiral copper coil.
This alternating magnetic field induces eddy currents in conductive objects placed inside the coil, causing them to heat up rapidly. It’s ideal for tasks like heating metal bolts, small soldering applications, or demonstrating electromagnetic induction principles. Often referred to in hobby circles as a “Tesla drops ladder” setup, it provides safe, low-voltage demonstrations without high-voltage arcs or faucets.
This module is commonly used in DIY electronics, educational kits, and small experiments. For safe operation, it’s important to use an appropriate power supply and always ensure a load is present in the coil.
Transistor Combo Pack – 100 Pcs (5 Popular Types, 20 Each)
This Transistor Combo Pack includes 100 high-quality bipolar junction transistors (BJTs), ideal for electronics enthusiasts, students, and professionals. The pack contains 5 popular transistor types, with 20 pieces each:
2N2222: NPN transistor for switching and low-power amplification.
BC548: General-purpose NPN transistor for amplification and control circuits.
BC558: PNP transistor for analog and switching applications.
BC547: Versatile NPN transistor used in various electronic projects.
BC557: Complementary PNP transistor for signal control and switching.
Each transistor in this pack is suitable for use in amplifiers, logic gates, switches, and microcontroller interfaces. Whether you’re learning the basics of electronics or working on advanced circuits, this pack provides a reliable assortment for multiple applications.
Pulley 22mm with Small Belt
A 22mm pulley with a small belt is a compact and reliable setup commonly used in applications like 3D printers, robotics, and small automation systems. The 22mm dimension typically refers to the pulley’s outer diameter, making it ideal for use in tight spaces where precise motion control is needed. When paired with a small timing belt—such as a GT2 or MXL belt—it ensures accurate, synchronized movement with minimal slippage.
This combination is well-suited for transferring rotary motion between shafts in systems requiring quiet, efficient, and low-maintenance operation. The small belt is often made of rubber with reinforced fibers for strength and flexibility. It wraps tightly around the pulley’s teeth, maintaining grip and accuracy even at high speeds.
Overall, a 22mm pulley with a small belt provides an excellent balance of precision, compact size, and mechanical efficiency, making it perfect for low-load, high-accuracy environments.
Raspberry Pi Camera Module 2 NoIR
The Raspberry Pi Camera Module 2 NoIR is a high-quality 8MP camera designed for Raspberry Pi boards. “NoIR” stands for “No Infrared Filter,” allowing the camera to capture both visible and infrared light. This makes it ideal for night vision, low-light photography, plant monitoring, and scientific projects.
Equipped with the Sony IMX219 sensor, it can capture still images at high resolution and supports video recording at 1080p30, 720p60, and 640x480p90. The camera connects via the Raspberry Pi’s CSI interface for fast, high-quality data transmission directly to the processor.
Thanks to its sensitivity to infrared light, the NoIR camera is perfect for use with IR LEDs to record images in complete darkness. It’s lightweight, compact, and easily integrated into a wide range of projects including home automation, wildlife monitoring, and robotics.
Future House Price Prediction System
Future House Price Prediction System
The Future House Price Prediction System is a machine learning-based tool that forecasts the value of residential properties using historical data and key features such as location, size, number of rooms, and property age. It helps home buyers, sellers, and real estate professionals make data-driven decisions.
Built using Python and ML libraries like Scikit-learn and Pandas, the system uses algorithms like Linear Regression or Random Forest to predict future prices. Users can input property details, and the system outputs an estimated market value.
Advanced versions may include geolocation data, trend analysis, and visual dashboards for deeper insights. The platform can be integrated into a web application using Flask or Django, making it accessible and user-friendly.
This predictive system is valuable for understanding real estate trends, planning investments, and gaining a competitive edge in the property market.
IOT Based Alcohol Detector and Engine Lock system using Arduino

IOT Based Alcohol Detector and Engine Lock system using Arduino
This project aims to design an IoT-based alcohol detection system integrated with an engine lock mechanism using an Arduino microcontroller. The system uses an MQ-3 gas sensor to detect alcohol presence in the driver’s breath. If alcohol is detected beyond a preset threshold, the system activates a relay to lock the engine, preventing the vehicle from starting.
An ESP8266 Wi-Fi module is used to send real-time alerts to a cloud server or mobile app, enabling remote monitoring. The solution enhances vehicle safety by ensuring that only sober individuals can operate the vehicle, helping reduce accidents due to drunk driving.
This smart system is cost-effective, easy to implement, and ideal for personal cars, commercial fleets, and public transport vehicles.
Trending products
Go to Trending productsERD Mobile Earphone
ERD Mobile Earphone
ERD Mobile Earphones are budget-friendly, wired earphones designed for daily use with mobile phones, tablets, and other audio devices. ERD is an Indian electronics and accessories brand known for offering cost-effective mobile accessories such as chargers, power banks, cables, and earphones. Their earphones are crafted to deliver decent sound quality at a very affordable price point, making them a popular choice among students and casual users.
Design and Build Quality:
ERD earphones usually feature a lightweight and compact design. They are made of durable plastic with rubberized or soft silicone ear tips that ensure a snug fit in the ear. The earphones come in various models, with some offering an in-ear canal design for better noise isolation. While they are not premium in build, they are fairly sturdy for everyday use and can withstand rough handling to a reasonable extent.
120W DC 5V-12V Mini Low Voltage ZVS Induction Heating Power Module Tesla Drops Ladder Without faucets with Heating Coil

120W DC 5V-12V Mini Low Voltage ZVS Induction Heating Power Module Tesla Drops Ladder Without faucets with Heating Coil
The 120W DC 5V–12V Mini Low Voltage ZVS Induction Heating Power Module is a compact and efficient device used for small-scale induction heating applications. It operates using Zero Voltage Switching (ZVS) technology, which enhances efficiency and reduces heat loss in switching components. Powered by a 5V to 12V DC input (12V recommended), the module generates high-frequency current through a spiral copper coil.
This alternating magnetic field induces eddy currents in conductive objects placed inside the coil, causing them to heat up rapidly. It’s ideal for tasks like heating metal bolts, small soldering applications, or demonstrating electromagnetic induction principles. Often referred to in hobby circles as a “Tesla drops ladder” setup, it provides safe, low-voltage demonstrations without high-voltage arcs or faucets.
This module is commonly used in DIY electronics, educational kits, and small experiments. For safe operation, it’s important to use an appropriate power supply and always ensure a load is present in the coil.
Transistor Combo Pack – 100 Pcs (5 Popular Types, 20 Each)
This Transistor Combo Pack includes 100 high-quality bipolar junction transistors (BJTs), ideal for electronics enthusiasts, students, and professionals. The pack contains 5 popular transistor types, with 20 pieces each:
2N2222: NPN transistor for switching and low-power amplification.
BC548: General-purpose NPN transistor for amplification and control circuits.
BC558: PNP transistor for analog and switching applications.
BC547: Versatile NPN transistor used in various electronic projects.
BC557: Complementary PNP transistor for signal control and switching.
Each transistor in this pack is suitable for use in amplifiers, logic gates, switches, and microcontroller interfaces. Whether you’re learning the basics of electronics or working on advanced circuits, this pack provides a reliable assortment for multiple applications.
Pulley 22mm with Small Belt
A 22mm pulley with a small belt is a compact and reliable setup commonly used in applications like 3D printers, robotics, and small automation systems. The 22mm dimension typically refers to the pulley’s outer diameter, making it ideal for use in tight spaces where precise motion control is needed. When paired with a small timing belt—such as a GT2 or MXL belt—it ensures accurate, synchronized movement with minimal slippage.
This combination is well-suited for transferring rotary motion between shafts in systems requiring quiet, efficient, and low-maintenance operation. The small belt is often made of rubber with reinforced fibers for strength and flexibility. It wraps tightly around the pulley’s teeth, maintaining grip and accuracy even at high speeds.
Overall, a 22mm pulley with a small belt provides an excellent balance of precision, compact size, and mechanical efficiency, making it perfect for low-load, high-accuracy environments.
Raspberry Pi Camera Module 2 NoIR
The Raspberry Pi Camera Module 2 NoIR is a high-quality 8MP camera designed for Raspberry Pi boards. “NoIR” stands for “No Infrared Filter,” allowing the camera to capture both visible and infrared light. This makes it ideal for night vision, low-light photography, plant monitoring, and scientific projects.
Equipped with the Sony IMX219 sensor, it can capture still images at high resolution and supports video recording at 1080p30, 720p60, and 640x480p90. The camera connects via the Raspberry Pi’s CSI interface for fast, high-quality data transmission directly to the processor.
Thanks to its sensitivity to infrared light, the NoIR camera is perfect for use with IR LEDs to record images in complete darkness. It’s lightweight, compact, and easily integrated into a wide range of projects including home automation, wildlife monitoring, and robotics.
Future House Price Prediction System
Future House Price Prediction System
The Future House Price Prediction System is a machine learning-based tool that forecasts the value of residential properties using historical data and key features such as location, size, number of rooms, and property age. It helps home buyers, sellers, and real estate professionals make data-driven decisions.
Built using Python and ML libraries like Scikit-learn and Pandas, the system uses algorithms like Linear Regression or Random Forest to predict future prices. Users can input property details, and the system outputs an estimated market value.
Advanced versions may include geolocation data, trend analysis, and visual dashboards for deeper insights. The platform can be integrated into a web application using Flask or Django, making it accessible and user-friendly.
This predictive system is valuable for understanding real estate trends, planning investments, and gaining a competitive edge in the property market.
IOT Based Alcohol Detector and Engine Lock system using Arduino

IOT Based Alcohol Detector and Engine Lock system using Arduino
This project aims to design an IoT-based alcohol detection system integrated with an engine lock mechanism using an Arduino microcontroller. The system uses an MQ-3 gas sensor to detect alcohol presence in the driver’s breath. If alcohol is detected beyond a preset threshold, the system activates a relay to lock the engine, preventing the vehicle from starting.
An ESP8266 Wi-Fi module is used to send real-time alerts to a cloud server or mobile app, enabling remote monitoring. The solution enhances vehicle safety by ensuring that only sober individuals can operate the vehicle, helping reduce accidents due to drunk driving.
This smart system is cost-effective, easy to implement, and ideal for personal cars, commercial fleets, and public transport vehicles.
IOT based Automatic Accident Avoiding Car using Arduino

IOT based Automatic Accident Avoiding Car using Arduino
This project presents an IoT-based Automatic Accident Avoiding Car using an Arduino microcontroller, designed to enhance road safety through obstacle detection and smart decision-making. The system uses ultrasonic sensors to continuously monitor the surroundings for nearby obstacles. When an object is detected within a critical range, the Arduino instantly stops or diverts the car to avoid a collision.
Additionally, the system integrates an ESP8266 Wi-Fi module to send real-time data or alerts to a cloud platform or mobile app, allowing for remote tracking and monitoring of the vehicle’s safety status.
This intelligent vehicle safety system can be implemented in autonomous cars, robotic vehicles, and smart transportation systems to reduce the risk of accidents and ensure safe navigation.
Air Purifier using Arduino

Air Purifier using Arduino
This project focuses on building a smart Air Purifier using Arduino, which monitors air quality and automatically purifies the air when pollution levels rise. The system uses a dust sensor (like GP2Y1010AU0F) to detect particulate matter (PM2.5/PM10) and a gas sensor (like MQ-135) to sense harmful gases such as CO₂, smoke, and ammonia.
The Arduino Uno reads these sensor values and compares them to a predefined safe threshold. If pollution levels are high, a DC fan is activated using a relay module. The fan draws air through a HEPA or activated carbon filter, cleaning it before releasing it back into the environment.
An LCD display shows real-time air quality data, and optional LED indicators give visual feedback (green for clean, red for polluted). This project is ideal for homes, offices, or classrooms, and is a great introduction to embedded systems, environmental monitoring, and automation using Arduino.
Signature Verification Using Python
Signature Verification Using Python
Signature Verification using Python is a smart way to authenticate handwritten signatures by comparing them digitally. The system checks whether a given signature matches a stored one, identifying it as genuine or forged.
Using libraries like OpenCV, the process begins with image preprocessing (grayscale conversion, thresholding, contour detection) to extract important signature features. These features include shape, stroke direction, and texture.
For classification, machine learning models like SVM or KNN are used, or advanced systems can employ Convolutional Neural Networks (CNNs) with libraries such as TensorFlow or PyTorch.
This technology is useful in banking, document verification, and legal sectors, where security and accuracy are critical. Signature verification systems reduce human error and allow for fast, automated processing.
Python’s flexibility and rich ecosystem make it ideal for building powerful signature verification applications, even with limited hardware and resources.
Real Time Object Detection Audio Output mobile App
Real Time Object Detection Audio Output mobile App
The Real-Time Object Detection with Audio Output Mobile App is a smart, AI-powered tool that uses a smartphone’s camera to identify objects in real time and provide audio feedback. It is especially helpful for visually impaired users, offering clear voice alerts like “Person ahead” or “Car on the left” as the camera detects objects.
Powered by lightweight machine learning models such as YOLO or MobileNet SSD, the app ensures fast and accurate detection directly on the device, without needing an internet connection. The built-in text-to-speech engine converts identified objects into spoken words instantly.
Key features include:
Real-time detection using phone camera
Offline audio feedback
Customizable voice and language settings
Simple, accessible interface
This app is ideal for assistive technology, robotics, or educational purposes, making AI practical and inclusive for everyday use.
Ultrasonic Sensor Mounting Bracket For HC-SR04
The Ultrasonic Sensor Mounting Bracket for HC-SR04 is a specially designed holder used to securely fix the HC-SR04 ultrasonic distance sensor in robotic and embedded systems projects. It provides a stable platform for accurate sensor positioning, ensuring better distance measurement and reducing the chance of vibration or misalignment during movement or operation.
The bracket is typically made from acrylic, plastic, or metal, and features pre-cut slots or holes that align perfectly with the sensor’s pins and body. It can easily be mounted onto robots, cars, or fixed stations using screws, glue, or bolts.
Portable IoT-Based Smart Mini Refrigerator for Medical Use

Portable IoT-Based Smart Mini Refrigerator for Medical Use
This advanced portable mini refrigerator uses a Peltier module to maintain a stable temperature, ideal for storing medicines like insulin, vaccines, and lab samples. Powered by an Arduino Uno with IoT integration (ESP8266/ESP32), it monitors and controls temperature in real-time. Users can track data via a mobile app and receive alerts if the temperature crosses the safe range. Compact, lightweight, and rechargeable, it’s perfect for healthcare workers on the move. With an OLED display, precise sensors, and cloud-based logging, this smart fridge ensures medical items stay safe during transport or field operations.
Industrial Safety Helmet with Hazard Alerts & Location Tracking

Industrial Safety Helmet with Hazard Alerts & Location Tracking
The Industrial Safety Helmet with Hazard Alerts is designed to offer the highest level of protection for workers in hazardous environments. With its cutting-edge technology, this helmet ensures that safety is never compromised. Equipped with integrated hazard alert systems, you will remain aware of potential dangers, making it an essential piece of safety gear for construction sites, factories, and other industrial settings.
Popular Products
ERD Mobile Earphone
ERD Mobile Earphone
ERD Mobile Earphones are budget-friendly, wired earphones designed for daily use with mobile phones, tablets, and other audio devices. ERD is an Indian electronics and accessories brand known for offering cost-effective mobile accessories such as chargers, power banks, cables, and earphones. Their earphones are crafted to deliver decent sound quality at a very affordable price point, making them a popular choice among students and casual users.
Design and Build Quality:
ERD earphones usually feature a lightweight and compact design. They are made of durable plastic with rubberized or soft silicone ear tips that ensure a snug fit in the ear. The earphones come in various models, with some offering an in-ear canal design for better noise isolation. While they are not premium in build, they are fairly sturdy for everyday use and can withstand rough handling to a reasonable extent.
120W DC 5V-12V Mini Low Voltage ZVS Induction Heating Power Module Tesla Drops Ladder Without faucets with Heating Coil

120W DC 5V-12V Mini Low Voltage ZVS Induction Heating Power Module Tesla Drops Ladder Without faucets with Heating Coil
The 120W DC 5V–12V Mini Low Voltage ZVS Induction Heating Power Module is a compact and efficient device used for small-scale induction heating applications. It operates using Zero Voltage Switching (ZVS) technology, which enhances efficiency and reduces heat loss in switching components. Powered by a 5V to 12V DC input (12V recommended), the module generates high-frequency current through a spiral copper coil.
This alternating magnetic field induces eddy currents in conductive objects placed inside the coil, causing them to heat up rapidly. It’s ideal for tasks like heating metal bolts, small soldering applications, or demonstrating electromagnetic induction principles. Often referred to in hobby circles as a “Tesla drops ladder” setup, it provides safe, low-voltage demonstrations without high-voltage arcs or faucets.
This module is commonly used in DIY electronics, educational kits, and small experiments. For safe operation, it’s important to use an appropriate power supply and always ensure a load is present in the coil.
Transistor Combo Pack – 100 Pcs (5 Popular Types, 20 Each)
This Transistor Combo Pack includes 100 high-quality bipolar junction transistors (BJTs), ideal for electronics enthusiasts, students, and professionals. The pack contains 5 popular transistor types, with 20 pieces each:
2N2222: NPN transistor for switching and low-power amplification.
BC548: General-purpose NPN transistor for amplification and control circuits.
BC558: PNP transistor for analog and switching applications.
BC547: Versatile NPN transistor used in various electronic projects.
BC557: Complementary PNP transistor for signal control and switching.
Each transistor in this pack is suitable for use in amplifiers, logic gates, switches, and microcontroller interfaces. Whether you’re learning the basics of electronics or working on advanced circuits, this pack provides a reliable assortment for multiple applications.
Pulley 22mm with Small Belt
A 22mm pulley with a small belt is a compact and reliable setup commonly used in applications like 3D printers, robotics, and small automation systems. The 22mm dimension typically refers to the pulley’s outer diameter, making it ideal for use in tight spaces where precise motion control is needed. When paired with a small timing belt—such as a GT2 or MXL belt—it ensures accurate, synchronized movement with minimal slippage.
This combination is well-suited for transferring rotary motion between shafts in systems requiring quiet, efficient, and low-maintenance operation. The small belt is often made of rubber with reinforced fibers for strength and flexibility. It wraps tightly around the pulley’s teeth, maintaining grip and accuracy even at high speeds.
Overall, a 22mm pulley with a small belt provides an excellent balance of precision, compact size, and mechanical efficiency, making it perfect for low-load, high-accuracy environments.
Raspberry Pi Camera Module 2 NoIR
The Raspberry Pi Camera Module 2 NoIR is a high-quality 8MP camera designed for Raspberry Pi boards. “NoIR” stands for “No Infrared Filter,” allowing the camera to capture both visible and infrared light. This makes it ideal for night vision, low-light photography, plant monitoring, and scientific projects.
Equipped with the Sony IMX219 sensor, it can capture still images at high resolution and supports video recording at 1080p30, 720p60, and 640x480p90. The camera connects via the Raspberry Pi’s CSI interface for fast, high-quality data transmission directly to the processor.
Thanks to its sensitivity to infrared light, the NoIR camera is perfect for use with IR LEDs to record images in complete darkness. It’s lightweight, compact, and easily integrated into a wide range of projects including home automation, wildlife monitoring, and robotics.
Future House Price Prediction System
Future House Price Prediction System
The Future House Price Prediction System is a machine learning-based tool that forecasts the value of residential properties using historical data and key features such as location, size, number of rooms, and property age. It helps home buyers, sellers, and real estate professionals make data-driven decisions.
Built using Python and ML libraries like Scikit-learn and Pandas, the system uses algorithms like Linear Regression or Random Forest to predict future prices. Users can input property details, and the system outputs an estimated market value.
Advanced versions may include geolocation data, trend analysis, and visual dashboards for deeper insights. The platform can be integrated into a web application using Flask or Django, making it accessible and user-friendly.
This predictive system is valuable for understanding real estate trends, planning investments, and gaining a competitive edge in the property market.
IOT Based Alcohol Detector and Engine Lock system using Arduino

IOT Based Alcohol Detector and Engine Lock system using Arduino
This project aims to design an IoT-based alcohol detection system integrated with an engine lock mechanism using an Arduino microcontroller. The system uses an MQ-3 gas sensor to detect alcohol presence in the driver’s breath. If alcohol is detected beyond a preset threshold, the system activates a relay to lock the engine, preventing the vehicle from starting.
An ESP8266 Wi-Fi module is used to send real-time alerts to a cloud server or mobile app, enabling remote monitoring. The solution enhances vehicle safety by ensuring that only sober individuals can operate the vehicle, helping reduce accidents due to drunk driving.
This smart system is cost-effective, easy to implement, and ideal for personal cars, commercial fleets, and public transport vehicles.
IOT based Automatic Accident Avoiding Car using Arduino

IOT based Automatic Accident Avoiding Car using Arduino
This project presents an IoT-based Automatic Accident Avoiding Car using an Arduino microcontroller, designed to enhance road safety through obstacle detection and smart decision-making. The system uses ultrasonic sensors to continuously monitor the surroundings for nearby obstacles. When an object is detected within a critical range, the Arduino instantly stops or diverts the car to avoid a collision.
Additionally, the system integrates an ESP8266 Wi-Fi module to send real-time data or alerts to a cloud platform or mobile app, allowing for remote tracking and monitoring of the vehicle’s safety status.
This intelligent vehicle safety system can be implemented in autonomous cars, robotic vehicles, and smart transportation systems to reduce the risk of accidents and ensure safe navigation.
Air Purifier using Arduino

Air Purifier using Arduino
This project focuses on building a smart Air Purifier using Arduino, which monitors air quality and automatically purifies the air when pollution levels rise. The system uses a dust sensor (like GP2Y1010AU0F) to detect particulate matter (PM2.5/PM10) and a gas sensor (like MQ-135) to sense harmful gases such as CO₂, smoke, and ammonia.
The Arduino Uno reads these sensor values and compares them to a predefined safe threshold. If pollution levels are high, a DC fan is activated using a relay module. The fan draws air through a HEPA or activated carbon filter, cleaning it before releasing it back into the environment.
An LCD display shows real-time air quality data, and optional LED indicators give visual feedback (green for clean, red for polluted). This project is ideal for homes, offices, or classrooms, and is a great introduction to embedded systems, environmental monitoring, and automation using Arduino.
Signature Verification Using Python
Signature Verification Using Python
Signature Verification using Python is a smart way to authenticate handwritten signatures by comparing them digitally. The system checks whether a given signature matches a stored one, identifying it as genuine or forged.
Using libraries like OpenCV, the process begins with image preprocessing (grayscale conversion, thresholding, contour detection) to extract important signature features. These features include shape, stroke direction, and texture.
For classification, machine learning models like SVM or KNN are used, or advanced systems can employ Convolutional Neural Networks (CNNs) with libraries such as TensorFlow or PyTorch.
This technology is useful in banking, document verification, and legal sectors, where security and accuracy are critical. Signature verification systems reduce human error and allow for fast, automated processing.
Python’s flexibility and rich ecosystem make it ideal for building powerful signature verification applications, even with limited hardware and resources.
Real Time Object Detection Audio Output mobile App
Real Time Object Detection Audio Output mobile App
The Real-Time Object Detection with Audio Output Mobile App is a smart, AI-powered tool that uses a smartphone’s camera to identify objects in real time and provide audio feedback. It is especially helpful for visually impaired users, offering clear voice alerts like “Person ahead” or “Car on the left” as the camera detects objects.
Powered by lightweight machine learning models such as YOLO or MobileNet SSD, the app ensures fast and accurate detection directly on the device, without needing an internet connection. The built-in text-to-speech engine converts identified objects into spoken words instantly.
Key features include:
Real-time detection using phone camera
Offline audio feedback
Customizable voice and language settings
Simple, accessible interface
This app is ideal for assistive technology, robotics, or educational purposes, making AI practical and inclusive for everyday use.
Ultrasonic Sensor Mounting Bracket For HC-SR04
The Ultrasonic Sensor Mounting Bracket for HC-SR04 is a specially designed holder used to securely fix the HC-SR04 ultrasonic distance sensor in robotic and embedded systems projects. It provides a stable platform for accurate sensor positioning, ensuring better distance measurement and reducing the chance of vibration or misalignment during movement or operation.
The bracket is typically made from acrylic, plastic, or metal, and features pre-cut slots or holes that align perfectly with the sensor’s pins and body. It can easily be mounted onto robots, cars, or fixed stations using screws, glue, or bolts.
Portable IoT-Based Smart Mini Refrigerator for Medical Use

Portable IoT-Based Smart Mini Refrigerator for Medical Use
This advanced portable mini refrigerator uses a Peltier module to maintain a stable temperature, ideal for storing medicines like insulin, vaccines, and lab samples. Powered by an Arduino Uno with IoT integration (ESP8266/ESP32), it monitors and controls temperature in real-time. Users can track data via a mobile app and receive alerts if the temperature crosses the safe range. Compact, lightweight, and rechargeable, it’s perfect for healthcare workers on the move. With an OLED display, precise sensors, and cloud-based logging, this smart fridge ensures medical items stay safe during transport or field operations.
Industrial Safety Helmet with Hazard Alerts & Location Tracking

Industrial Safety Helmet with Hazard Alerts & Location Tracking
The Industrial Safety Helmet with Hazard Alerts is designed to offer the highest level of protection for workers in hazardous environments. With its cutting-edge technology, this helmet ensures that safety is never compromised. Equipped with integrated hazard alert systems, you will remain aware of potential dangers, making it an essential piece of safety gear for construction sites, factories, and other industrial settings.
Laptops & Computers
ERD Mobile Earphone
ERD Mobile Earphone
ERD Mobile Earphones are budget-friendly, wired earphones designed for daily use with mobile phones, tablets, and other audio devices. ERD is an Indian electronics and accessories brand known for offering cost-effective mobile accessories such as chargers, power banks, cables, and earphones. Their earphones are crafted to deliver decent sound quality at a very affordable price point, making them a popular choice among students and casual users.
Design and Build Quality:
ERD earphones usually feature a lightweight and compact design. They are made of durable plastic with rubberized or soft silicone ear tips that ensure a snug fit in the ear. The earphones come in various models, with some offering an in-ear canal design for better noise isolation. While they are not premium in build, they are fairly sturdy for everyday use and can withstand rough handling to a reasonable extent.
120W DC 5V-12V Mini Low Voltage ZVS Induction Heating Power Module Tesla Drops Ladder Without faucets with Heating Coil

120W DC 5V-12V Mini Low Voltage ZVS Induction Heating Power Module Tesla Drops Ladder Without faucets with Heating Coil
The 120W DC 5V–12V Mini Low Voltage ZVS Induction Heating Power Module is a compact and efficient device used for small-scale induction heating applications. It operates using Zero Voltage Switching (ZVS) technology, which enhances efficiency and reduces heat loss in switching components. Powered by a 5V to 12V DC input (12V recommended), the module generates high-frequency current through a spiral copper coil.
This alternating magnetic field induces eddy currents in conductive objects placed inside the coil, causing them to heat up rapidly. It’s ideal for tasks like heating metal bolts, small soldering applications, or demonstrating electromagnetic induction principles. Often referred to in hobby circles as a “Tesla drops ladder” setup, it provides safe, low-voltage demonstrations without high-voltage arcs or faucets.
This module is commonly used in DIY electronics, educational kits, and small experiments. For safe operation, it’s important to use an appropriate power supply and always ensure a load is present in the coil.
Transistor Combo Pack – 100 Pcs (5 Popular Types, 20 Each)
This Transistor Combo Pack includes 100 high-quality bipolar junction transistors (BJTs), ideal for electronics enthusiasts, students, and professionals. The pack contains 5 popular transistor types, with 20 pieces each:
2N2222: NPN transistor for switching and low-power amplification.
BC548: General-purpose NPN transistor for amplification and control circuits.
BC558: PNP transistor for analog and switching applications.
BC547: Versatile NPN transistor used in various electronic projects.
BC557: Complementary PNP transistor for signal control and switching.
Each transistor in this pack is suitable for use in amplifiers, logic gates, switches, and microcontroller interfaces. Whether you’re learning the basics of electronics or working on advanced circuits, this pack provides a reliable assortment for multiple applications.
Pulley 22mm with Small Belt
A 22mm pulley with a small belt is a compact and reliable setup commonly used in applications like 3D printers, robotics, and small automation systems. The 22mm dimension typically refers to the pulley’s outer diameter, making it ideal for use in tight spaces where precise motion control is needed. When paired with a small timing belt—such as a GT2 or MXL belt—it ensures accurate, synchronized movement with minimal slippage.
This combination is well-suited for transferring rotary motion between shafts in systems requiring quiet, efficient, and low-maintenance operation. The small belt is often made of rubber with reinforced fibers for strength and flexibility. It wraps tightly around the pulley’s teeth, maintaining grip and accuracy even at high speeds.
Overall, a 22mm pulley with a small belt provides an excellent balance of precision, compact size, and mechanical efficiency, making it perfect for low-load, high-accuracy environments.
Raspberry Pi Camera Module 2 NoIR
The Raspberry Pi Camera Module 2 NoIR is a high-quality 8MP camera designed for Raspberry Pi boards. “NoIR” stands for “No Infrared Filter,” allowing the camera to capture both visible and infrared light. This makes it ideal for night vision, low-light photography, plant monitoring, and scientific projects.
Equipped with the Sony IMX219 sensor, it can capture still images at high resolution and supports video recording at 1080p30, 720p60, and 640x480p90. The camera connects via the Raspberry Pi’s CSI interface for fast, high-quality data transmission directly to the processor.
Thanks to its sensitivity to infrared light, the NoIR camera is perfect for use with IR LEDs to record images in complete darkness. It’s lightweight, compact, and easily integrated into a wide range of projects including home automation, wildlife monitoring, and robotics.
Future House Price Prediction System
Future House Price Prediction System
The Future House Price Prediction System is a machine learning-based tool that forecasts the value of residential properties using historical data and key features such as location, size, number of rooms, and property age. It helps home buyers, sellers, and real estate professionals make data-driven decisions.
Built using Python and ML libraries like Scikit-learn and Pandas, the system uses algorithms like Linear Regression or Random Forest to predict future prices. Users can input property details, and the system outputs an estimated market value.
Advanced versions may include geolocation data, trend analysis, and visual dashboards for deeper insights. The platform can be integrated into a web application using Flask or Django, making it accessible and user-friendly.
This predictive system is valuable for understanding real estate trends, planning investments, and gaining a competitive edge in the property market.
IOT Based Alcohol Detector and Engine Lock system using Arduino

IOT Based Alcohol Detector and Engine Lock system using Arduino
This project aims to design an IoT-based alcohol detection system integrated with an engine lock mechanism using an Arduino microcontroller. The system uses an MQ-3 gas sensor to detect alcohol presence in the driver’s breath. If alcohol is detected beyond a preset threshold, the system activates a relay to lock the engine, preventing the vehicle from starting.
An ESP8266 Wi-Fi module is used to send real-time alerts to a cloud server or mobile app, enabling remote monitoring. The solution enhances vehicle safety by ensuring that only sober individuals can operate the vehicle, helping reduce accidents due to drunk driving.
This smart system is cost-effective, easy to implement, and ideal for personal cars, commercial fleets, and public transport vehicles.
IOT based Automatic Accident Avoiding Car using Arduino

IOT based Automatic Accident Avoiding Car using Arduino
This project presents an IoT-based Automatic Accident Avoiding Car using an Arduino microcontroller, designed to enhance road safety through obstacle detection and smart decision-making. The system uses ultrasonic sensors to continuously monitor the surroundings for nearby obstacles. When an object is detected within a critical range, the Arduino instantly stops or diverts the car to avoid a collision.
Additionally, the system integrates an ESP8266 Wi-Fi module to send real-time data or alerts to a cloud platform or mobile app, allowing for remote tracking and monitoring of the vehicle’s safety status.
This intelligent vehicle safety system can be implemented in autonomous cars, robotic vehicles, and smart transportation systems to reduce the risk of accidents and ensure safe navigation.
Air Purifier using Arduino

Air Purifier using Arduino
This project focuses on building a smart Air Purifier using Arduino, which monitors air quality and automatically purifies the air when pollution levels rise. The system uses a dust sensor (like GP2Y1010AU0F) to detect particulate matter (PM2.5/PM10) and a gas sensor (like MQ-135) to sense harmful gases such as CO₂, smoke, and ammonia.
The Arduino Uno reads these sensor values and compares them to a predefined safe threshold. If pollution levels are high, a DC fan is activated using a relay module. The fan draws air through a HEPA or activated carbon filter, cleaning it before releasing it back into the environment.
An LCD display shows real-time air quality data, and optional LED indicators give visual feedback (green for clean, red for polluted). This project is ideal for homes, offices, or classrooms, and is a great introduction to embedded systems, environmental monitoring, and automation using Arduino.
Signature Verification Using Python
Signature Verification Using Python
Signature Verification using Python is a smart way to authenticate handwritten signatures by comparing them digitally. The system checks whether a given signature matches a stored one, identifying it as genuine or forged.
Using libraries like OpenCV, the process begins with image preprocessing (grayscale conversion, thresholding, contour detection) to extract important signature features. These features include shape, stroke direction, and texture.
For classification, machine learning models like SVM or KNN are used, or advanced systems can employ Convolutional Neural Networks (CNNs) with libraries such as TensorFlow or PyTorch.
This technology is useful in banking, document verification, and legal sectors, where security and accuracy are critical. Signature verification systems reduce human error and allow for fast, automated processing.
Python’s flexibility and rich ecosystem make it ideal for building powerful signature verification applications, even with limited hardware and resources.
Real Time Object Detection Audio Output mobile App
Real Time Object Detection Audio Output mobile App
The Real-Time Object Detection with Audio Output Mobile App is a smart, AI-powered tool that uses a smartphone’s camera to identify objects in real time and provide audio feedback. It is especially helpful for visually impaired users, offering clear voice alerts like “Person ahead” or “Car on the left” as the camera detects objects.
Powered by lightweight machine learning models such as YOLO or MobileNet SSD, the app ensures fast and accurate detection directly on the device, without needing an internet connection. The built-in text-to-speech engine converts identified objects into spoken words instantly.
Key features include:
Real-time detection using phone camera
Offline audio feedback
Customizable voice and language settings
Simple, accessible interface
This app is ideal for assistive technology, robotics, or educational purposes, making AI practical and inclusive for everyday use.
Ultrasonic Sensor Mounting Bracket For HC-SR04
The Ultrasonic Sensor Mounting Bracket for HC-SR04 is a specially designed holder used to securely fix the HC-SR04 ultrasonic distance sensor in robotic and embedded systems projects. It provides a stable platform for accurate sensor positioning, ensuring better distance measurement and reducing the chance of vibration or misalignment during movement or operation.
The bracket is typically made from acrylic, plastic, or metal, and features pre-cut slots or holes that align perfectly with the sensor’s pins and body. It can easily be mounted onto robots, cars, or fixed stations using screws, glue, or bolts.
Portable IoT-Based Smart Mini Refrigerator for Medical Use

Portable IoT-Based Smart Mini Refrigerator for Medical Use
This advanced portable mini refrigerator uses a Peltier module to maintain a stable temperature, ideal for storing medicines like insulin, vaccines, and lab samples. Powered by an Arduino Uno with IoT integration (ESP8266/ESP32), it monitors and controls temperature in real-time. Users can track data via a mobile app and receive alerts if the temperature crosses the safe range. Compact, lightweight, and rechargeable, it’s perfect for healthcare workers on the move. With an OLED display, precise sensors, and cloud-based logging, this smart fridge ensures medical items stay safe during transport or field operations.
Industrial Safety Helmet with Hazard Alerts & Location Tracking

Industrial Safety Helmet with Hazard Alerts & Location Tracking
The Industrial Safety Helmet with Hazard Alerts is designed to offer the highest level of protection for workers in hazardous environments. With its cutting-edge technology, this helmet ensures that safety is never compromised. Equipped with integrated hazard alert systems, you will remain aware of potential dangers, making it an essential piece of safety gear for construction sites, factories, and other industrial settings.