NeuroFlow

Inspiration

As high school students, we generally struggle to manage our mental health with all our schoolwork, homework, extracurricular classes, etc. That's why I created NeuroFlow. It's to help not only students, but everyone with their mental health struggles.

What it does

During your study session, you will record yourself through this website. Once you do this, the AI will detect patterns of stress based on your facial expressions, trained to even detect subtle facial movements.

How we built it

CNN/RNN/RAG/DRL backend connected with a fastapi to the html frontend.

Challenges we ran into

One of the most tedious challenges we ran into was debugging the entire project. The vast amounts of code made it extremely difficult to go through and find the wrong code.

Accomplishments that we're proud of

We are extremely proud of the fact that the product we created can help many people around the world. In addition, it does not utilize hardware, making it extremely easy for people worldwide to not only access it, but also thrive with it. This also has the potential to be completely free, due to the lack of hardware. Overall, we are very, very satisfied with the complexity and potential of this product.

What we learned

How to connect 4 models together and post and llm onto a html frontend.

What's next for Neuroflow

If we win in hackathon, we will aim to release it worldwide. This will help hundreds of people with potential mental issues, such as depression, at a free cost.