All Projects

A smart irrigation system developed using Arduino to automate water supply for agricultural fields and gardens. The system monitors soil moisture, humidity, and water tank levels in real time. When the soil becomes dry, the Arduino automatically switches ON the water pump through a relay module. The LCD displays sensor readings and system status, while the water level sensor prevents the pump from running when the tank is empty. A transformer-based power supply provides stable power to the entire system.

A smart wireless monitoring system designed for mountain trekkers and hikers using LoRa communication technology. The system continuously monitors vital health parameters such as heart rate, body temperature, and atmospheric pressure, and transmits the data over long distances using LoRa modules. An Arduino processes sensor data and displays real-time information on an LCD. The system helps rescue teams and base stations monitor trekkers' health and environmental conditions in remote mountain regions where cellular networks may not be available.

An IoT-powered web application for real-time monitoring of a 3-phase electrical supply using Arduino sensors. The system tracks live Voltage, Current, Power, and Transformer readings, detects faults on individual phases, manages load status, and automatically generates electricity bills with slab-based tariff breakdown — all displayed on a live dashboard with full history and CSV export.

An intelligent river cleaning robot that uses Artificial Intelligence (AI) and Computer Vision to identify waste materials floating in rivers and distinguish them from living objects such as humans, birds, and animals. The system automatically collects detected waste while safely avoiding living objects. A Raspberry Pi processes real-time camera images using OpenCV and controls the robot's movement through a motor driver.

A smart queue management system for college fee payment counters. Students register their details and get a unique QR code — the system manages who gets served next, automatically activating one student at a time. The cashier scans the QR to verify and mark payment as done, while the admin monitors the entire queue live from a dashboard.

A web application that identifies animal breeds instantly from a photo. Upload any animal image and the system detects the breed, shows the confidence score, and generates a detailed AI report covering the animal's origin, behavior, diet, and health. Includes a full prediction history, analytics dashboard, and a dedicated animal expert chatbot.

An IoT-powered web application for real-time monitoring of a 3-phase electrical supply using Arduino sensors. The system tracks live Voltage, Current, Power, and Transformer readings, detects faults on individual phases, manages load status, and automatically generates electricity bills with slab-based tariff breakdown — all displayed on a live dashboard with full history and CSV export.

A real-time women safety system that uses computer vision and IoT sensors to detect threats — Fear, Assault, and Unconsciousness — through live webcam feed. The system analyzes facial expressions, eye state, and hand proximity using MediaPipe, combines it with heart rate, EEG, and motion sensor data from Arduino, and instantly triggers hardware alerts. A detailed PDF safety report is also generated for every detection.

An AI-powered web application for early detection of Lymphoma using both blood test (CBC) data and microscopic cell images. The system combines a trained XGBoost ML model for CBC analysis and a MobileNetV2 deep learning model for image classification — identifying three types of Lymphoma (CLL, FL, MCL). Results are explained by LLaMA AI, and patients can download a detailed PDF report.

A smart web application that automatically detects fraudulent employee expense claims using a combination of Machine Learning and LLM-based AI auditing. Users upload a bill or receipt image — the system extracts data using OCR, runs it through a trained ML model, and then cross-verifies the result using LLaMA AI for a final fraud verdict (Fraud / Suspicious / Legitimate).

An AI-powered real-time surveillance system that detects missing or lost children using face recognition technology. When a registered child's face is detected via webcam, the system instantly notifies parents via email and triggers a hardware alert through Arduino — all running locally with no cloud dependency.