ahmedmshazly /
Disaster_Detection
COURSEWORKcoursework
ALU machine-learning course project: an NLP classifier for disaster tweets behind a Flask app, with a live demo.
Reads a stream of tweets and flags likely disasters for responders — usable from a simple web page that still runs today.
- Python 96%
- Cython 3%
- C 1%
- C++ 0%
- Fortran 0%
Why this exists
The project behind the Crisis ML case-study card: classify disaster-related social-media posts and surface them for responders. The trained model is served by a small Flask app (single-tweet and batch CSV prediction) deployed on Vercel — the demo has outlived the course.
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Open to internships & contract work · full-time from 2027
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