Inspiration
Lots of people are not getting the emotion helps needed from the therapist, which excaberates the mental illness of the patients causing many social problems, example, suicides, violence, school shooting, etc.
What it does
It's a AI model to improve efficency for the therapist, which allows them to help more patients in need.
How we built it
We built it with various frameworks. The backend is built with python with flask, openai, and weaviate. The front end is built with javascript, stylus (which gets rendered into css), and HTML.
Challenges we ran into
Sending blobs of audio clip from frontend to backend is challenging. We managed to solve this issue by base64 encoding the blob first, then decode it after it reaches backend.
Accomplishments that we're proud of
Text to speech + emotional detection.
What we learned
How to encourporate vector databases along with llms.
What's next for Inner Peace
We are planning to expand our project reach, and improve our AI models and front end webpage UI.
Built With
- axios
- fer2013
- flask
- html
- javascript
- keras
- langchain
- openai
- python
- stylus
- tensorflow
- weaviate

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