Innovative engineering student at NMAM Institute of Technology with hands-on experience in Python and C++. Successfully designed and developed an automated toll booth system using Arduino, showcasing strong problem-solving skills. Enhanced vehicle detection and gate control efficiency, contributing to a working prototype that simulates modern toll operations.
Miniature Toll Booth System using Arduino and Ultrasonic Sensors:
Designed and developed a functional prototype of an automated toll booth system using Arduino. Implemented ultrasonic sensors to detect approaching vehicles and controlled a servo motor to open and close the barrier gate. Enhanced system efficiency with real-time vehicle detection and automated gate control, simulating modern toll operations.
Problem-solving
Python
c
c
Participation in Hackathon - FLC Hackloop
Will be provided upon request