Inspiration
We were inspired by the growing mental health crisis and how many people struggle silently. We wanted to build something simple that could help detect early warning signs and encourage people to seek support.
What We Learned
We learned how to apply AI to a real-world problem. We gained experience analyzing text for emotions, building a clean user interface, and presenting insights in a clear and meaningful way.
How We Built It
We built a web app where users can write daily journal entries and analyze their emotions. The system processes the text, generates a crisis score, and shows an emotion breakdown. It also provides alerts and resources when high-risk signals are detected.
Challenges
One challenge was making the emotion analysis feel accurate and useful. Another was designing a simple interface while handling a sensitive topic in a respectful way.
Final Thoughts
This project showed us how technology can support mental health in a practical way. Even a simple tool can help people reflect and take action.
Built With
- corsmiddleware
- css
- fastapi
- git
- html
- httpexception
- javascript
- natural-language-processing
- python
- torch
- transformers
- uvicorn
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