DIFALLAH Fayrouz2025-04-272024-06-15DIFALLAH Fayrouz, "Smart Electric Wheelchair for Real-time Obstacle Avoidance", Engineer Project, HNS-RE2SD, 2024.http://dspace.hns-re2sd.dz:4000/handle/123456789/15The project involves developing a Smart Electric Wheelchair (SEW) to improve mobility and independence for individuals with physical disabilities. It uses a Raspberry Pi 4 Model B for processing, an L298 dual H-bridge motor driver, also ultrasonic sensors for obstacle detection, and servo motors for sensor positioning. Machine learning algorithms enhance real-time obstacle prediction and navigation safety. The system includes a robust communication subsystem and an Android application for user control.enSmart Electric Wheelchairreal-time obstacle avoidanceRaspberry Pimachine learningsensor fusionmobility assistanceThesis