This project uses a CNN model to classify fruits and estimate their calories from images. Includes Colab training, a `checker.py` script for predictions, and a Kaggle dataset for accurate results. Ideal for quick fruit identification and calorie tracking. --- This should fit within GitHub's character limit!
active 2024-10-31 → 2025-01-15 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 77 days from 2024-10-31 to 2025-01-15. Pushes: 7 total, peak 5 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: 0 total, peak 0 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 |
|---|---|---|---|---|
| PyMash | 7 | 7 | 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 — 0 stars here means stars gained during the window, not the repo's star count.