From ML Model to Deployable AI App – MoodSense AI

I built an end-to-end NLP project that detects mood from text and turns it into a usable application. Key features: Multi-class mood classification Confidence score + probability distribution Recommendation system FastAPI backend + Gradio UI Live deployment Live: Click Me GitHub: Click Me Big takeaway: ML is just one part — productization is what really matters.