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Intermediate
Mood-Based Food Recommendation System
Mood-Based Food Recommendation System — built for academic submission
An NLP project implementing mood-based food recommendation system, covering text preprocessing, model training and a simple web interface to try it live.
What's included
- Trained classification/analysis model
- Simple web interface to test with your own input
- Evaluation metrics and model comparison
- Report explaining methodology and results
- Text preprocessing and feature extraction pipeline
Tech stack
PythonNLTK/spaCyScikit-learnFlask
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