
Ambitious electronics engineering student skilled in project planning, Arduino Programming, and Circuit Design. Demonstrated proficiency in VHDL simulations and C-language, eager to leverage technical skills and budget management experience to drive impactful projects.
Designed and developed a voice-controlled wheelchair system to assist physically disabled users in mobility. The system uses a microcontroller with a voice recognition module to interpret spoken commands such as forward, backward, left, right, and stop. Based on the recognized command, the controller drives DC motors through a motor driver to move the wheelchair accordingly. The project focuses on hands-free navigation and improving independence for users with limited physical movement.
Designed and implemented a fall detection system using Arduino Uno and MPU6050 sensor. The system monitors body movement by measuring acceleration and orientation in three axes (X, Y, Z). When a sudden change in motion or abnormal tilt indicating a fall is detected, the Arduino processes the sensor data and activates an alert such as a buzzer or LED. This project demonstrates the application of embedded systems and motion sensors for real-time safety monitoring.