I built MoodSense AI, an end-to-end NLP project that detects mood from text and provides basic recommendations.
It classifies text into multiple moods (happy, sad, anxious, etc.), shows confidence and probability distribution, and exposes both an API (FastAPI) and a UI (Gradio).
The goal was to go beyond just training a model and make something actually usable.
Live demo: https://huggingface.co/spaces/aman179102/moodsense-ai
Source: https://github.com/aman179102/moodsense-ai
Tech stack: Python, scikit-learn, LightGBM, spaCy, FastAPI, Gradio
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