Engaging minds, empowering caretakers: adaptive games for cognitive wellness.
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Cerebrix has a set of brain-stimulating minigames crafted for dementia and Alzheimer's patients, designed to encourage mental engagement through familiar and accessible activities. The suite includes games like card memory matching, a recognition game where users match aquaintences to their names, and a math challenge. Each minigame adapts its difficulty based on the player’s recent performance, creating a personalized experience that stays challenging yet manageable. This adaptive design aims to support memory retention, recognition skills, and cognitive stimulation in a gentle, supportive way. It additionally contains a voice-to-voice AI companion that the player can talk to for social activity and emotional support, and a minigame to guess the musical instrument playing in a song.

A caretaker sets up and manages the patient’s account, personalizing it to enhance relevance and usability. They can also monitor cognitive changes over time, as the application tracks game performance and provides feedback on any progress or cognitive shifts. This feature enables caretakers to observe patterns and receive insights. By combining engaging gameplay with helpful progress tracking, this project aims to support both patients and caretakers in their experience with dementia care.

We used React.js/Next.js and Vercel to build the application, using a Cloudflare Worker running Meta Llama 3 for generation of math problems, Clerk and Supabase for authentication and users, Spotify API for the musical instrument guessing game, and Hume AI for the voice-to-voice AI.

The cognitive progress or decline is measured by accuracy in the games over time, which is stored in the Supabase database.

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Programmed in

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Here are the steps to run the project locally if you want to develop your own project.

• npm

  npm install npm@latest -g

You can run the project using

npm run server

Distributed under the MIT License. See LICENSE.txt for more information.

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Joseph Helfenbein -

Alan Wu -

Mike Odnis -

Radwan Hoque -

Project Link: https://github.com/aw4630/hackru-2024

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This project was submitted to the HackRU 2024 hackathon for the NeuroTech track.

Devpost link: https://devpost.com/software/cerebrix

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