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🇵🇭 Philippines IOAI selection 2026, Team Selection

The "Bayanihan" Crisis Concept Extractor

Extract urgency, location and needs from Taglish disaster SMS and noisy radio clips using ASR and free-tier LLM APIs.

Statement
English
To hand in
A predictions file
Data type
🧩 Mixed data, 📝 Text
Estimated difficulty
Unknown

Get ready on the platform

The foundations of the learning path for this kind of data.

›How to tackle it
  1. Read the statement. What to hand in, the metric that scores you, the time and hardware limits.
  2. Explore the data. Size, format, missing values, how the labels are spread.
  3. Score yourself first. Keep part of the training data aside to measure your work before submitting.
  4. Start simple, then improve. A first solution that works end to end, then one change at a time.
  5. Compare with a solution. Once you have searched, open it and see what you would have done differently.

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