This paper introduces a multi-control wheelchair customized to support elderly people or lower-limb disabilities person for hilly region using advanced assistive technologies. It presents a novel approach for a assistive wheelchair with a unique emphasis on object identification for navigation. The MCW offers versatile control options, including joystick operation, internet connectivity, or a combination of both. By employing a network of sensors, the system evaluates terrain conditions and translates user commands into appropriate control actions. The proposed control system, powered by a Raspberry Pi, facilitates precise maneuvering and control of the wheelchair. By integrating Raspberry Pi with camera, sensors, and other control components with the Android system using wifi technologies for supervisory control system. This integration results in multi-layered system architecture with specialized control functions, leveraging using Android devices achieve remote capture of surrounding environment videos and for automatic control. The study’s results demonstrate that users can execute essential tasks with improved control, thus enhancing the functionality of traditional wheelchairs and potentially civilizing the overall class of life for individuals with lower-limb disabilities.