RehabilitationAI

Inspiration

Rehabilitation processes often rely on predefined recovery plans that remain unchanged throughout the rehabilitation period.
In practice, patients may struggle to follow these plans consistently and lack clear feedback on whether they are progressing as expected. RehabilitationAI was inspired by the idea that rehabilitation should be adaptive and trackable.
By combining AI-assisted rehabilitation program generation with daily progress reporting, the platform aims to support users throughout their recovery journey rather than offering one-time guidance.

What it does

RehabilitationAI is an AI-powered rehabilitation support platform that helps users generate personalized recovery programs and evaluate their plan completion over time. The platform enables users to:

Generate structured rehabilitation programs based on individual goals, physical limitations, and preferences
Report daily rehabilitation activities and progress
Evaluate plan completion and adherence based on generated programs and user-reported data
Gain clearer insight into their rehabilitation consistency and recovery status

How we built it

RehabilitationAI is built using Next.js with the App Router and React for component-based UI development.
The system consists of three core components:

Rehabilitation Program Generation using AI-driven logic
Daily Progress Reporting to capture user activity data
Plan Completion and Adherence Evaluation, conceptually represented as: [ \text{Adherence Score} = \frac{\text{Completed Tasks}}{\text{Planned Tasks}} ] The platform is designed as a supportive tool, focusing on structured guidance and progress evaluation rather than medical diagnosis or treatment decisions.

Challenges we ran into

One major challenge was defining a realistic and responsible project scope.
Rehabilitation-related applications require careful wording and design choices to avoid overstating AI capabilities or crossing into medical decision-making. Another challenge was integrating program generation, user input, progress tracking, and evaluation into a single cohesive user experience.
Managing multiple application states while keeping the interface intuitive required careful component and state design.

Accomplishments that we're proud of

Successfully built a complete, end-to-end rehabilitation support platform
Designed a clear and structured user flow from program generation to progress evaluation
Implemented a meaningful plan completion evaluation mechanism
Maintained responsible AI boundaries while delivering a practical and user-focused product
Delivered a functional system within a limited development timeframe