Sunday, 12 May, 2024
Time
12 PM
Place
GUST
About the Project
What is it?
Masar is an Al-powered traffic light controller that uses cameras and machine learning to manage traffic flow more efficiently in real time. By analyzing live video feeds, the system adjusts Signal timings based on actual traffic conditions, helping to reduce congestion, emissions and improve road safety. Built with Python for Al processing, Arduino for hardware control, Python for the user interface, and Firebase for cloud data handling. Masar also integrates ChatGPT to offer user support or system insights.
Students involved & the Supervisor
Dr. Ali Ahmad - the Supervisor
Abdulmohsen AlGhanim
Ali Alshuwaie
Anwar Ali Abdullah
Fahad AlAdwani
Yousef Awadh
More details
The website: https://masar-4dk1hm.flutterflow.app
