Intelligent Embedded Systems & IoT

Leverage your expertise in embedded systems to develop innovative IoT solutions that solves real-world problems

Smart Waste Segregation Bin

Problem: Design an IoT-enabled smart dustbin that uses sensors and AI to detect, classify (biodegradable/non-biodegradable), and segregate waste automatically.

Focus Areas: Image processing (CNN), ultrasonic sensors, edge AI, servo control

Intelligent Traffic Light Control System

Problem: Develop a smart traffic signal system that adapts signal timing based on real-time vehicle density and emergency vehicle detection.

Focus Areas: Edge computing, camera input, embedded vision, machine learning

Smart Farming & Soil Monitoring System

Problem: Create a system that monitors soil moisture, pH, temperature, and gives irrigation recommendations or automates watering via actuators.

Focus Areas: Environmental sensors, fuzzy logic, mobile app integration

AI-based Home Intrusion Detection System

Problem: Design a smart embedded security system that detects unusual motion, recognizes faces, and alerts the user in real time.

Focus Areas: PIR sensor, camera, facial recognition, GSM/IoT alerts

Energy Theft Detection in Smart Grids

Problem: Build a system that monitors electricity usage patterns and detects anomalies that may indicate electricity theft.

Focus Areas: Smart metering, anomaly detection, data logging, wireless comms

Smart Helmet for Accident Detection and Alert

Problem: Develop a helmet that can detect crashes using an accelerometer/gyroscope and send alerts with GPS location to emergency contacts.
Focus Areas: MPU6050, GSM/GPS modules, impact detection algorithms

AI-enabled Fire Detection and Prevention System

Problem: Create an intelligent embedded system that detects early signs of fire (gas/smoke/flame), triggers suppression systems, and alerts fire services.

Focus Areas: Flame/gas sensors, decision logic, IoT dashboard

Voice-Controlled Home Automation System

Problem: Design a home automation system that uses voice commands to control lights, fans, and appliances, with AI-based user behavior learning.

Focus Areas: Voice recognition (offline/onboard), relay control, ESP32

Smart Health Monitoring Wearable

Problem: Develop a wearable device that continuously monitors vitals (heart rate, SpO2, body temp) and sends alerts on abnormal readings.

Focus Areas: Biomedical sensors, ESP32/BLE, ML for anomaly prediction

Intelligent Parking Management System

Problem: Create a parking system that detects available slots using sensors or cameras and guides users via a mobile app.

Focus Areas: IR sensors or OpenCV, LoRa/Wi-Fi, MQTT, real-time dashboard