WellPath AI

AI-assisted well-being screening platform that looks beyond symptoms to identify the factors that may be affecting a person's mental and physical well-being.

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Inspiration

Concussion recovery can be difficult to track because multiple factors such as symptoms, sleep, activity, mood, and cognitive performance can affect recovery. We wanted to create a simple AI-powered platform that turns this information into meaningful recovery insights.

What it does

WellPath AI analyzes user assessment data, calculates a recovery score, identifies factors affecting recovery, and provides personalized insights to help users track their recovery progress.

How we built it

We built WellPath AI using a FastAPI backend, SQL Server database, and AI/ML analysis. The system validates assessment data, processes recovery factors, calculates scores, stores historical results, and generates recovery insights through the platform.

Challenges we ran into

Our main challenges were designing a meaningful scoring system, combining multiple recovery factors, integrating AI responsibly, and presenting complex health-related data in a simple way.

Accomplishments that we're proud of

We are proud of building a complete AI-powered concussion recovery platform from assessment to analysis and recovery tracking, while focusing on responsible AI and user-friendly insights.

What we learned

We learned how to combine AI/ML, data analysis, backend APIs, database design, and frontend development into a real-world solution. We also learned the importance of responsible AI when working with health-related data.

What's next for WellPath AI

We plan to improve the platform with larger validated datasets, better recovery prediction, wearable-device integration, long-term recovery trends, and clinician dashboards.

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