Shocktobr/Archway-Oracle

Archway Oracle

Archway Oracle is a traffic detection system for St. Louis that combines computer vision and machine learning to monitor and predict traffic patterns. It uses a YOLO model to analyze live traffic camera feeds and detect vehicles in real time. The system then feeds this data into a HistGradientBoostingRegressor model to forecast traffic flow across the city. By integrating these two approaches, Archway Oracle provides accurate, real-time insights to help manage traffic congestion and improve transportation planning.

Roadmap / to-do list

• —Make sure live feed is live frames
• —Make sure all stats are good
• —Make sure selecting camera from dropdown works
• —Draw roads on map
• —Make sure all previous archway features work
• —Make sure ui buttons are in correct order for camera stuff
• —Get rid of old google maps stuff
• —Look into what console is spamming
• —Maybe remove AI Performance section
• —Check why map dark/light mode isnt instant change
• —Maybe limit the amount of nearby cams
• —Use .env and Docker