Android App implemented in Android Studio (Java) and Firebase for backend to provide an easy way to know about the live crowd density present inside the bus to the commuters at the bus stop when the bus reaches 200m within the proximity of the user. This app uses Deep Learning to predict the crowd density with an accuracy of 93%.
active 2024-07-21 → 2025-02-02 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 197 days from 2024-07-21 to 2025-02-02. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 2 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| saksheessawant | 2 | 2 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.