Built a small end-to-end AI project: MoodSense AI.
It takes text input and:
<ul>
<li>detects mood</li>
<li>shows confidence and probability distribution</li>
<li>gives basic recommendations</li>
</ul>
Focused on making it usable, not just training a model.
Live: <a href="https://huggingface.co/spaces/aman179102/moodsense-ai" target="_blank" rel="noopener nofollow">Click Me</a>
GitHub: <a href="https://github.com/aman179102/moodsense-ai" target="_blank" rel="noopener nofollow">Click Me</a>
Would love feedback.

Aman Kumar

MoodSense AI is a small end-to-end machine learning project that takes text input, detects mood, displays confidence scores and probability distributions, and provides basic recommendations. The project is deployed as a live app on Hugging Face Spaces with source code available on GitHub.

Built MoodSense AI – from ML model to live app