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Underground cables are widely used for power transmission, but detecting faults in them can be challenging. The Underground Cable Fault Detection System using Arduino and GSM is designed to locate faults in underground cables accurately and transmit the fault location via SMS alerts. This system helps in quick maintenance and reduces downtime in power distribution networks.
The 4CH RC Remote Control Circuit TX RX is a complete transmitter-receiver system for controlling up to four channels wirelessly. Ideal for RC vehicles, drones, and robotics, it operates on reliable 2.4GHz frequency, offering stable and responsive control. Easy to integrate and perfect for hobbyists and enthusiasts alike.
The Arduino Lilypad is a wearable microcontroller board designed for e-textiles. Powered by an ATmega328P, it features sewable pads for easy integration into fabrics. Ideal for creating interactive garments and accessories, it supports various sensors and LEDs, making it perfect for wearable tech, fashion, and educational projects.
The objective of this project is to convert Hindi sentence to English sentence for non-native speakers using Neural Machine Translation. The dataset is preprocessed by removing punctuations and all duplicate values as well as all quotes, numbers and white spaces that are present in text data. Then English and Hindi vocabulary is prepared by splitting sentences into words. Encoder Decoder architecture is used to build the model wherein decoder is an LSTM model with embedding layer, sequence to sequence layer, attention mechanism and dense layer. The model is appropriately trained with the train data and saved the model weights, which are loaded while inferencing the test data for making the prediction. The predicted English translation will be obtained from decoded sequence function.
The Buzzer Small is a compact, efficient sound device ideal for low-noise environments and space-constrained applications. It provides clear, audible alerts for electronic projects, small appliances, and security systems. Its minimal power consumption and easy integration make it perfect for portable devices and battery-operated gadgets.
This project leverages Machine Learning techniques to determine the quality of ground water being considered as drikable. It starts with exploratory data analysis followed by visualizations and classification algorithms such as Logistic Regression, kNN, DecisionTree, Random Forest, XGBoost and so on. The performance of the models are evaluated using confusion metrics and compared to understand their suitability of their usage to solve the business problem.
Introducing the Raspberry Pi PICO, a game-changer in the world of microcontrollers. Powered by the RP2040 microcontroller chip, this tiny yet mighty board offers exceptional performance and versatility for a multitude of projects. With a dual-core Arm Cortex-M0+ processor running at 133MHz, the Raspberry Pi PICO delivers impressive computational power while consuming minimal energy, making it perfect for IoT devices, robotics, and more. Featuring 26 multi-function GPIO pins, including PWM, UART, SPI, and I2C interfaces, the Raspberry Pi PICO provides extensive connectivity options for interfacing with sensors, displays, and other peripherals. Compatible with MicroPython and C/C++, programming the Raspberry Pi PICO is accessible to both beginners and experienced developers. Its onboard programmable I/O (PIO) peripherals enable precise control of external devices, opening up new possibilities for real-time applications. Whether you’re a hobbyist, student, or professional, the Raspberry Pi PICO offers a powerful platform for creativity and innovation.
A 820K ohms (820,000 ohms) resistor with a 1/4 watt power rating offers a fixed resistance of 820,000 ohms and can dissipate up to 0.25 watts of power. It is commonly used in electronic circuits for tasks such as signal conditioning, high-impedance voltage division, and biasing. This resistor is ideal for applications requiring high resistance and low power dissipation, making it a versatile and dependable component for various electronic devices and circuit designs.
The DC Jack Connector Female is a crucial component for powering electronic devices. It provides a secure and reliable connection for DC power input, ensuring stable voltage delivery. Commonly used in power supplies, chargers, and various gadgets, its durable design guarantees long-lasting performance and easy integration into circuits.
The Soil Moisture Percentage Measurement system using ATmega328 accurately gauges soil moisture levels. By interfacing with a soil moisture sensor, the ATmega328 microcontroller processes the sensor’s analog signals to calculate and display soil moisture percentages. This system is ideal for optimizing irrigation and monitoring plant health.
The Solar-Based Irrigation System is an innovative project designed to enhance water management in agriculture using renewable energy and automation. By integrating solar power, sensors, and Arduino, this system ensures efficient irrigation while minimizing water and electricity wastage.
The IC 4011 is a quad 2-input NAND gate, part of the 4000 series CMOS logic family. It includes four independent NAND gates, each with two inputs, designed to perform logical NAND operations. This IC is used in digital circuits for creating complex logic functions, signal processing, and implementing various logical operations efficiently.
Experience the pinnacle of luxury with our Luxury Car Rental System, a sophisticated web platform built using HTML, CSS, and JavaScript. It offers a seamless browsing and booking experience, featuring an elegant UI, real-time availability, and a secure payment gateway for effortless reservations.
The outbreak of COVID-19 made a significant health impact across the globe. This project is designed to analyze how coronavirus affect different nations and to predict potential COVID-19 cases across all the globe on an everyday basis. The objective was to gauge COVID-19 on three metrics- confirmed cases, recovered cases and death events for the next day using historical data as on a given date. Various forecasting models such as Linear Regressor, Random Forest Regressor, ARIMA, Prophet, Holt Winter etc. are used for time series analysis and forecasting COVID cases.
The Battery 9V with Clip provides convenient power for various electronic devices and DIY projects. Equipped with a snap-on connector, it ensures easy and secure attachment. Ideal for powering small electronics, prototyping circuits, and educational experiments, offering reliable performance in a compact form.
The Arduino Uno SMD is a compact, durable version of the popular Arduino Uno board. Featuring surface-mount components and the ATmega328P microcontroller, it offers 14 digital I/O pins, 6 analog inputs, and a USB interface for programming. Ideal for prototyping, education, and DIY electronics projects.
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.
The Battery 3.7V 2200mAh Li-ion offers reliable, long-lasting power for various electronics. Ideal for projects requiring stable voltage and high energy density, it’s perfect for portable devices, DIY kits, and robotics. Its compact size and rechargeable capability make it a versatile choice for powering your innovative creations.
Connecting wires, available in packs of 5 meters, provide essential connectivity for electrical and electronic projects. Featuring various gauges and colors for organization, they are ideal for DIY projects, electrical installations, and prototyping. These wires ensure reliable connections, ease of use, and durability in diverse applications.
The Breadboard with 400 tie-points is ideal for medium-sized electronics projects. It features a balanced size, self-adhesive backing, and solderless connections, making it easy to use and perfect for designing and testing circuits. Suitable for educational and DIY projects, it is compatible with various standard components.
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.
The Battery 9V with Clip provides convenient power for various electronic devices and DIY projects. Equipped with a snap-on connector, it ensures easy and secure attachment. Ideal for powering small electronics, prototyping circuits, and educational experiments, offering reliable performance in a compact form.
The Arduino Uno SMD is a compact, durable version of the popular Arduino Uno board. Featuring surface-mount components and the ATmega328P microcontroller, it offers 14 digital I/O pins, 6 analog inputs, and a USB interface for programming. Ideal for prototyping, education, and DIY electronics projects.
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.
The Battery 3.7V 2200mAh Li-ion offers reliable, long-lasting power for various electronics. Ideal for projects requiring stable voltage and high energy density, it’s perfect for portable devices, DIY kits, and robotics. Its compact size and rechargeable capability make it a versatile choice for powering your innovative creations.
Connecting wires, available in packs of 5 meters, provide essential connectivity for electrical and electronic projects. Featuring various gauges and colors for organization, they are ideal for DIY projects, electrical installations, and prototyping. These wires ensure reliable connections, ease of use, and durability in diverse applications.
The Breadboard with 400 tie-points is ideal for medium-sized electronics projects. It features a balanced size, self-adhesive backing, and solderless connections, making it easy to use and perfect for designing and testing circuits. Suitable for educational and DIY projects, it is compatible with various standard components.
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.
The Breadboard GL12 840 Points is a versatile and spacious prototyping tool, ideal for building and testing electronic circuits. With 840 connection points, it offers ample space for complex projects, facilitating easy component placement and wiring. Its self-adhesive backing allows for secure attachment, making it a valuable asset for both hobbyists and professionals.
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.
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.
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
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.
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.
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.
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 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.
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.
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.
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.
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.
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.
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.
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
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
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.