The objective is to create an IoT-enabled smart wheelchair that offers real-time health monitoring and autonomous navigation, improving safety, mobility, and independence for users.
This project presents an IoT-enabled autonomous wheelchair using Arduino Mega, DC motors, motor drivers, heartbeat sensor, temperature sensor, Bluetooth module, NodeMCU, GPS module, GSM module, ultrasonic sensor, voice module, and buzzer. The system continuously monitors the user's heart rate and body temperature while uploading the data to an IoT platform for remote monitoring. Ultrasonic sensors provide obstacle detection for safe navigation, and the voice module enables voice-controlled wheelchair operation. GPS and GSM modules support real-time location tracking and emergency alerts. The proposed system offers an intelligent, safe, and user-friendly mobility solution that enhances independence and healthcare support for individuals with physical disabilities.
Keywords: Arduino Mega, Smart Wheelchair, IoT, Health Monitoring, GPS, GSM, Voice Control, Assistive Technology.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Hardware Components
Software requirements:
Understanding Arduino Mega pin diagram and architecture
Installing and configuring Arduino IDE
Setting up Arduino for wheelchair control and monitoring applications
Introduction to IoT data logging using NodeMCU and ThingSpeak
Basic coding with Arduino Mega for mobility and health monitoring
Working with ultrasonic, heartbeat, and temperature sensors
Interfacing NodeMCU with Arduino for IoT-based healthcare applications
Understanding power supply design for robotic mobility systems
About Project Development Life Cycle:
Practical exposure to:
Project development skills: