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
jeffreygoesto•1h ago