Have you ever walked across the entire campus to your favorite study spot only to find a packed room? People Counter is an integrated system that allow users to view real-time data of the number of people in a room (tested in HH1300 wing) as well as the predicted occupancy category up to 1 hour in advance. The critical use-case requirements include an over 80% estimation accuracy, a less-than-1-minute data transmission latency from hardware to frontend, and an above 80% prediction category benchmark. After a 6-week testing period, People Counter has achieved all 3 requirements, posting on average a 91% estimation accuracy, an 83% prediction accuracy, and a 60-second latency. With People Counter, you can now get a sense of how crowded a study space is before deciding whether to make the trip there.