# Twimler

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Majid Khosravi](https://cerebralvalley.ai/u/Majid)
- **GitHub:** https://github.com/majidkh/easy-line-call
- **Demo video:** https://youtu.be/TYcUK3Q8nB0
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2445

Easy Line Call helps tennis players review close line calls during singles and doubles matches. It combines live ball tracking, court calibration and slow-motion replay to make disputed shots easier to inspect.

Players position a camera behind the court, tap Calibrate, and confirm that the detected lines match the court. Once analysis begins, the app tracks the ball and marks its bounces, keeping the ten most recent bounces visible. Tapping a marker opens the Challenge page to replay that shot. 

If the app misses a bounce—or a player wants to inspect another moment—the manual Challenge feature lets them move through the footage with a slider and select an area of the court. On-device upscaling enhances the selected view, while slow-motion playback helps players examine the bounce more closely.

Easy Line Call supports players in reviewing uncertain calls, with a simple goal: less time arguing over lines and more time enjoying tennis.

## More from Meta Global AI Developer Hackathon

- [S47](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2442)
- [Latent](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2443)
- [Snaprint](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2444)
- [Merlin](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2446)
- [La Asistenta](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2447)
- [navfail](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2448)

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