NeuroInsight

To help caregivers better understand the emotions of their patients, especially for those who struggle to communicate, and improve their mental and physical well-being.

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Inspiration

Inspired by both the Terra API and Careyaya sponsors, we came up with an idea that has flavors from both. The personal EEG machine can help us better understand the mental health of individuals, while APIs like Terra help collect and analyze health data -- and our project is the intersection of the two.

What it does

Our final goal is to take user data from personal EEG devices, such as Muse, to provide real-time analysis of the emotions of the wearer. It would also accumulate this data and combine it with other health data, such as food and activities, to provide a comprehensive analysis of the wearer's mental health.

How we built it

We used React.js to build the front end and used mainly Tensorflow to have an AI model that can detect positive, neutral, and negative emotions from EEG outputs.

Challenges we ran into

We struggled at first to find a unique solution that has not yet been implemented with such cutting-edge technology, but taking the time for thought certainly led to good results. Our limited experience in React and lack of resources (such as a Muse device) hindered the expansion of our project.

What we learned

We learned more about cutting-edge EEG devices and their vast possibilities for improving human health, and we also had a great opportunity to sharpen our software development skills. Moreover, it was wonderful meeting talented peers from around the world and seeing their unique innovations in development.

What's next for NeuroInsight

We aim to connect all the pieces, from EEG devices to AI, UI, mobile apps, and incorporating Terra API. We see many great possibilities for NeuroInsight and believe a completed form would help improve many people's mental health and well-being.

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