ABSTRACT:
Assistive mobility systems play an important role in helping elderly and physically challenged people move independently. Traditional wheelchairs require manual effort and may not provide intelligent safety features. This project proposes the design and development of a Smart Robotic Chair controlled using voice commands and WiFi-based web interface. The system is built using a microcontroller and motor driver to control DC motors for movement. The user can control the chair using voice commands such as forward, backward, left, right, and stop. Additionally, a web-based dashboard allows manual control using a smartphone or laptop over WiFi. The system also integrates ultrasonic sensors for obstacle detection to prevent collisions. An LDR sensor automatically turns on headlights in dark environments. The project demonstrates an intelligent assistive mobility system with improved safety, flexibility, and user convenience.

INTRODUCTION:
Mobility assistance is essential for people with physical disabilities and elderly individuals. Conventional wheelchairs require manual operation, which may not be convenient for all users. With the advancement of embedded systems and IoT technologies, smart mobility devices can be developed that respond to voice commands and remote controls. The robotic chair proposed in this project integrates multiple control methods including voice control and WiFi-based manual control. The system uses a motor driver to control the movement of the chair through DC motors. Ultrasonic sensors detect obstacles to prevent accidents, while an LDR sensor enables automatic lighting in dark conditions. The integration of these technologies improves user safety, comfort, and convenience.
Aim
To design and develop a smart robotic chair that can be controlled using voice commands and WiFi web interface with obstacle detection and safety features.

Objectives
1. To develop a robotic chair that can move in different directions.
2. To implement voice command-based motion control.
3. To implement WiFi-based web dashboard control.
4. To integrate ultrasonic sensors for obstacle detection.
5. To develop emergency stop functionality for safety.
6. To implement automatic headlight control using LDR.
7. To monitor system status through a web interface.