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The proposed project presents the design and development of an Electric Wheelchair integrated with a Robotic Arm and Mini Camera, aimed at enhancing the mobility and independence of physically challenged individuals. The system combines advanced robotics and vision based control to assist users in performing daily tasks without external help. By integrating a multi degree robotic arm, the design enables users to pick, place, and manipulate objects with precision, while the mounted camera provides real time visual feedback for accurate operation and navigation. The project incorporates intelligent control mechanisms using micro controllers and sensors to interpret user inputs through a joystick, flex sensors, or voice commands. This approach ensures an intuitive and user friendly interface that can adapt to the user’s comfort and accessibility requirements. The wheelchair’s modular structure integrates essential components such as servo motors, an Arduino based control system, and a mini camera module, enabling efficient coordination between mechanical and electronic subsystems. Simulation and control logic were developed and tested using Tinker cad software in Phase 1, focusing primarily on design validation and functional modeling. As a socially relevant innovation, this project contributes to the growing field of Assistive technologies, promoting inclusion and self reliance among differently -a bled individuals. While the current phase emphasizes design, simulation, and system integration, the subsequent phase will involve full hardware implementation, real time testing, and performance evaluation. The final outcome is expected to offer a cost effective, ergonomic, and reliable solution that bridges the gap between robotics and rehabilitation, ultimately improving the quality of life for individuals with mobility impairments.