2023-2024

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    Smart Electric Wheelchair for Real-time Obstacle Avoidance
    (2024-06-15) DIFALLAH Fayrouz
    The 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.