Bear Meter shows real-time occupancy at the RSF weight room and predicts how busy it will be for the next several months. It's a student side project with no university affiliation, no ads, and no monetization of any kind.
Current occupancy comes from the RSF's live sensor system. Predictions are generated by a Random Forest model, retrained monthly on roughly 146,000 historical readings. It accounts for the Berkeley academic calendar, so finals, dead week, breaks, and holidays are all factored in.
No sign-up, no tracking, no data collected about you. This will stay free.
Questions, bug reports, or ideas: lucaschang@berkeley.edu.