# Team Estrella

- **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:** [Sabiha Akter Nib](https://cerebralvalley.ai/u/SabihaNib)
- **GitHub:** https://github.com/sabiha-nib/skytrace
- **Demo video:** https://drive.google.com/file/d/1dMwJFTw9oFHtxdxYpulUc8E8PchEgTtk/view?usp=drive_link
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2579

SKYTRACE is a multilingual scientific intelligence platform designed to make astronomical research more systematic, explainable, and accessible.

Astronomical research involves enormous volumes of complex data, competing scientific explanations, uncertainty, and disconnected analytical workflows. SKYTRACE brings these elements together in a unified research environment where investigators can explore astronomical data, examine potential anomalies, compare hypotheses, trace evidence, and build reproducible investigations.

The platform brings together an extensive ecosystem of scientific workspaces, including Sky Explorer, Time Machine, Signal Intelligence, Discovery Lab, Hypothesis Arena, Evidence Graph, Uncertainty Explorer, Scientific Compiler, Scientific Debugger, Research Memory, Discovery Radar, Cosmic Atlas, and Open Science Gateway.

Beyond analysis, SKYTRACE emphasizes scientific accountability. Its workflows help researchers examine alternative explanations, identify methodological weaknesses, understand uncertainty, preserve research provenance, and document how conclusions are reached.

Designed for global accessibility, SKYTRACE supports six interface languages: English, Bangla, Hindi, Spanish, French, and German.

Our vision is to create a research environment where scientific exploration is not limited by fragmented tools, language barriers, or opaque analytical processes.

Explore the unknown. Challenge the evidence. Make discovery reproducible.

Current demonstration note: The present preview uses synthetic test data to demonstrate and validate research workflows. It does not claim real astronomical discoveries or live observational results.

## More from Meta Global AI Developer Hackathon

- [Team_loner](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2576)
- [Tether](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2577)
- [Team Zekraa](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2578)
- [Hack Singh](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2580)
- [George (GK) — TRUE IP / FME, Inc.](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2581)
- [Thalamuse](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2582)

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