Abstract: This project presents the design and development of an intelligent IoT-based smart wheelchair system that enhances mobility, safety, and communication for physically challenged individuals. The system integrates advanced technologies such as Wi-Fi-enabled control using ESP8266, real-time GPS tracking, emergency alert functionality, and multi-mode operation including joystick and voice control.

A key feature of the system is its assistive communication capability. Dedicated push buttons are provided for the user, which when pressed, generate predefined voice outputs such as “food”, “water”, “washroom”, etc. This feature is especially useful for users who are unable to speak or communicate easily, allowing them to convey their basic needs effectively.

The wheelchair is equipped with a GPS module that continuously tracks its location and transmits coordinates to the Blynk IoT platform. In emergency situations, the user can trigger an alert that sends a notification along with a live Google Maps location link to caregivers. The system also allows remote monitoring and locating of the wheelchair through a mobile application.

Additionally, the wheelchair supports dual-mode control: manual operation using a joystick and voice-based control via serial commands. A buzzer is included for alert and horn functions to improve safety.

Overall, this project provides a cost-effective, reliable, and user-friendly assistive solution by combining mobility, safety, communication, and IoT-based monitoring. It significantly improves the independence and quality of life for differently-abled individual

Keywords:
• IoT-based smart wheelchair
• Assistive technology
• Physically challenged individuals
• Wi-Fi-enabled control (ESP8266)
• Real-time GPS tracking
• Emergency alert system
• Voice control
• Joystick control
• Multi-mode operation
• Communication aid
• Remote monitoring
• Blynk IoT platform


Downloads: PDF | DOI: 10.17148/IARJSET.2026.13423

How to Cite:

[1] Mr. M.V.J.T. ARUN, M. Tech, K. HARISH, K. JOHN BENNY, M. SURYAKIRAN,MD. NOUSHAD ALAM ANSARI, M. THARUN BALAJI, "IoT-Based Smart Wheelchair with GPS Tracking, Emergency Alert, and Multi-Mode Control System," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2026.13423

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