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Sensors and Modules
Ultrasonic Sensor Module
The Ultrasonic Sensor is a versatile device used for distance measurement and obstacle detection in robotics and automation. By emitting high-frequency sound waves and measuring the time it takes for them to return, it provides accurate distance readings. Ideal for applications such as collision avoidance, level sensing, and object counting, it enhances the functionality of various electronic systems.SKU: ultrasonic-sensor -
Resistors - 1/4 Watt
Resistor Mix Box
The Resistor Mix Box is a convenient assortment of various resistors, ideal for prototyping and experimentation. It includes a range of resistor values and power ratings, allowing for flexible design and testing of electronic circuits. This mix box is perfect for hobbyists, engineers, and educators, providing easy access to a wide variety of resistors for different applications.
SKU: resistor-mix-box -
Soldering Items
Soldering Iron 25 Watt
A 25-watt soldering iron is ideal for electronics repair, assembly, and DIY projects. It provides precise control with a temperature range of 250°C to 400°C. Lightweight and ergonomic, it features interchangeable tips for versatile use, ensuring accurate and clean solder joints for delicate components and small-scale tasks.
SKU: soldering-iron -
Robot Parts
Motor Driver L298N
Efficient and versatile Motor Driver L298N for controlling DC motors and stepper motors. Ideal for robotics and automation projects, it supports dual H-Bridge configuration and delivers reliable performance. Compatible with Arduino and other microcontrollers, perfect for DIY electronics enthusiasts and professionals seeking precise motor control solutions.
SKU: motor-driver-l298n -
Servo Motors
Servo Motor SG90
The Servo Motor SG90 is a compact and lightweight servo, perfect for precise control in robotics and model projects. With a 180-degree rotation range, it’s ideal for steering, arm movements, and other motion control tasks. Its reliability and ease of use make it a popular choice for hobbyists and professionals alike.
SKU: servo-motor-sg90 -
Arduino Accessories
Jumper Wires Male to Male 40 Pin
High-quality 40-pin male-to-male jumper wires for Arduino, Raspberry Pi, and breadboard projects. Perfect for prototyping and circuit connections. Durable, flexible, and easy to use for all your electronics needs.
SKU: jumper-wires-male-to-male-40-pin -
Sensors and Modules
IR Sensor Module (Pack of 2)
The IR Sensor Module detects infrared radiation to measure distance, detect objects, or monitor environmental conditions. Often used in proximity sensing, obstacle detection, and remote controls, it works by emitting and receiving infrared light. Its compact design and high accuracy make it essential for robotics, automation, and various electronic applications.
SKU: ir-sensor
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Transistors
Voltage Regulator Combo Pack – 60 Pcs (6 Popular Types, 10 Each)
Voltage Regulator Combo Pack – 60 Pcs (6 Popular Types, 10 Each)
This Voltage Regulator Combo Pack is a must-have for electronics enthusiasts, students, and professionals working on circuit design, prototyping, and experimentation. The pack includes Six widely used Voltage Regulator, with 10 pieces of each type, totaling 60 Regulator.
SKU: n/a -
Robot Parts
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.
SKU: Pulley 22mm with Small Belt -
Raspberry Pi and Accessories
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.
SKU: Raspberry Pi Camera Module 2 NoIR -
Python AI/ML Based Projects
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.
SKU: Future House Price Prediction System -
Arduino UNO & IOT Projects, BTech Final Year Electronics Projects, Electrical Projects (BTech MTech), Electronics Projects (BTech MTech)
IOT Based Alcohol Detector and Engine Lock system using Arduino
-11%Arduino UNO & IOT Projects, BTech Final Year Electronics Projects, Electrical Projects (BTech MTech), Electronics Projects (BTech MTech)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.
SKU: IOT Based Alcohol Detector and Engine Lock system using Arduino -
Arduino UNO & IOT Projects, BTech Final Year Electronics Projects
IOT based Automatic Accident Avoiding Car using Arduino
-11%Arduino UNO & IOT Projects, BTech Final Year Electronics ProjectsIOT 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.
SKU: IOT based Automatic Accident Avoiding Car using Arduino -
BTech Final Year Electronics Projects, Electrical Projects (BTech MTech), Electronics Projects (BTech MTech)
Air Purifier using Arduino
-10%BTech Final Year Electronics Projects, Electrical Projects (BTech MTech), Electronics Projects (BTech MTech)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.
SKU: Air Purifier -
Python AI/ML Based Projects
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.
SKU: Signature Verification Using Python
-
Transistors
Voltage Regulator Combo Pack – 60 Pcs (6 Popular Types, 10 Each)
Voltage Regulator Combo Pack – 60 Pcs (6 Popular Types, 10 Each)
This Voltage Regulator Combo Pack is a must-have for electronics enthusiasts, students, and professionals working on circuit design, prototyping, and experimentation. The pack includes Six widely used Voltage Regulator, with 10 pieces of each type, totaling 60 Regulator.
SKU: n/a -
Robot Parts
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.
SKU: Pulley 22mm with Small Belt -
Raspberry Pi and Accessories
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.
SKU: Raspberry Pi Camera Module 2 NoIR -
Python AI/ML Based Projects
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.
SKU: Future House Price Prediction System -
Arduino UNO & IOT Projects, BTech Final Year Electronics Projects, Electrical Projects (BTech MTech), Electronics Projects (BTech MTech)
IOT Based Alcohol Detector and Engine Lock system using Arduino
-11%Arduino UNO & IOT Projects, BTech Final Year Electronics Projects, Electrical Projects (BTech MTech), Electronics Projects (BTech MTech)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.
SKU: IOT Based Alcohol Detector and Engine Lock system using Arduino -
Arduino UNO & IOT Projects, BTech Final Year Electronics Projects
IOT based Automatic Accident Avoiding Car using Arduino
-11%Arduino UNO & IOT Projects, BTech Final Year Electronics ProjectsIOT 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.
SKU: IOT based Automatic Accident Avoiding Car using Arduino -
BTech Final Year Electronics Projects, Electrical Projects (BTech MTech), Electronics Projects (BTech MTech)
Air Purifier using Arduino
-10%BTech Final Year Electronics Projects, Electrical Projects (BTech MTech), Electronics Projects (BTech MTech)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.
SKU: Air Purifier -
Python AI/ML Based Projects
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.
SKU: Signature Verification Using Python
Products Grid
-
Transistors
Voltage Regulator Combo Pack – 60 Pcs (6 Popular Types, 10 Each)
Voltage Regulator Combo Pack – 60 Pcs (6 Popular Types, 10 Each)
This Voltage Regulator Combo Pack is a must-have for electronics enthusiasts, students, and professionals working on circuit design, prototyping, and experimentation. The pack includes Six widely used Voltage Regulator, with 10 pieces of each type, totaling 60 Regulator.
SKU: n/a -
Robot Parts
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.
SKU: Pulley 22mm with Small Belt -
Raspberry Pi and Accessories
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.
SKU: Raspberry Pi Camera Module 2 NoIR -
Python AI/ML Based Projects
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.
SKU: Future House Price Prediction System
-
Arduino UNO & IOT Projects, BTech Final Year Electronics Projects, Electrical Projects (BTech MTech), Electronics Projects (BTech MTech)
IOT Based Alcohol Detector and Engine Lock system using Arduino
Arduino UNO & IOT Projects, BTech Final Year Electronics Projects, Electrical Projects (BTech MTech), Electronics Projects (BTech MTech)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.
SKU: IOT Based Alcohol Detector and Engine Lock system using Arduino
-
Arduino UNO & IOT Projects, BTech Final Year Electronics Projects
IOT based Automatic Accident Avoiding Car using Arduino
-11%Arduino UNO & IOT Projects, BTech Final Year Electronics ProjectsIOT 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.
SKU: IOT based Automatic Accident Avoiding Car using Arduino -
BTech Final Year Electronics Projects, Electrical Projects (BTech MTech), Electronics Projects (BTech MTech)
Air Purifier using Arduino
-10%BTech Final Year Electronics Projects, Electrical Projects (BTech MTech), Electronics Projects (BTech MTech)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.
SKU: Air Purifier -
Python AI/ML Based Projects
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.
SKU: Signature Verification Using Python -
Android App Based Projects
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.
SKU: Real Time Object Detection Audio Output mobile App -
Best Sellers
Recently Added
Voltage Regulator Combo Pack – 60 Pcs (6 Popular Types, 10 Each)
Voltage Regulator Combo Pack – 60 Pcs (6 Popular Types, 10 Each)
This Voltage Regulator Combo Pack is a must-have for electronics enthusiasts, students, and professionals working on circuit design, prototyping, and experimentation. The pack includes Six widely used Voltage Regulator, with 10 pieces of each type, totaling 60 Regulator.
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.
Brain-Controlled Home Automation (EEG Headset Interface)

Brain-Controlled Home Automation (EEG Headset Interface)
Imagine controlling your home environment with just your thoughts. The Brain-Controlled Home Automation System utilizes cutting-edge EEG headset technology to offer a seamless interface between your brain and various household devices. This innovative solution empowers users to manage their smart homes without the need for physical interaction or voice commands, transforming the way you live.
Smart Energy Meter with IoT Monitoring using Arduino

Smart Energy Meter with IoT Monitoring using Arduino
Introducing the Smart Energy Meter with IoT Monitoring using Arduino, a groundbreaking solution designed to bring efficiency and control to your energy consumption. This advanced meter allows you to monitor and analyze your energy usage in real-time, providing the insights necessary to optimize your electricity consumption and reduce costs.
Automated Pet Feeder using Arduino with Remote Access
The Automated Pet Feeder using Arduino with Remote Access is designed for pet owners who want to simplify their feeding routines. Imagine being able to feed your pets on a fixed schedule while you’re at work or on vacation. With this innovative device, you can ensure your pets receive their meals at the right time, every time. This not only helps in maintaining their health but also gives you peace of mind.
Touch-Based Doorbell using Arduino and Touch Sensor
Touch-Based Doorbell using Arduino and Touch Sensor
The Touch-Based Doorbell is a smart and hygienic alternative to traditional mechanical doorbells. Built using an Arduino Uno and a TTP223 capacitive touch sensor, this project allows users to ring the doorbell simply by touching a sensor pad—no pressing required. It’s a great solution for smart homes and public spaces where minimizing physical contact is important.
When a user touches the sensor, it sends a signal to the Arduino, which then activates a buzzer to produce a chime sound. The system is simple, cost-effective, and easy to build. It can also be expanded by integrating features like wireless alerts or camera systems.
Earthquake Detector using Arduino and Vibration Sensor
Earthquake Detector using Arduino and Vibration Sensor
The Earthquake Detector is a basic yet effective project built using an Arduino Uno and a vibration sensor (SW-420) to detect tremors or seismic activity. The sensor continuously monitors ground vibrations. When sudden or strong vibrations are detected, it sends a signal to the Arduino, which then triggers an alarm using a buzzer or LED to alert nearby individuals.
This system is simple to build and helps demonstrate how vibration sensing can be used in early warning systems. It can be further enhanced by integrating a 16×2 LCD to display real-time status or even a GSM module to send alerts remotely.
Real-Time Clock Display using Arduino and RTC Module
Real-Time Clock Display using Arduino and RTC Module
The Real-Time Clock (RTC) Display is a practical Arduino project that shows the current time and date using an RTC module like the DS3231 or DS1307, and a 16×2 LCD with I2C interface. The RTC module keeps track of time even when the Arduino is powered off, thanks to its internal battery.
The Arduino reads the time and date from the RTC module via I2C communication and continuously updates the LCD display. It shows real-time hours, minutes, seconds, and date, making it ideal for clocks, loggers, or time-based automation projects.
Light Following Robot using Arduino and LDR Sensor
Light Following Robot using Arduino and LDR Sensor
The Light Following Robot is a fun and educational robotics project that uses Arduino Uno and LDR (Light Dependent Resistor) sensors to detect and follow a light source. It mimics the behavior of light-seeking organisms and is great for learning sensor-based automation and basic robotics.
The robot is built on a chassis with two DC motors controlled by an L298N motor driver. Two LDRs are placed at the front to sense light intensity. When one LDR detects more light than the other, the Arduino signals the motors to turn toward the brighter side. If both LDRs detect equal light, the robot moves forward.