MedRecap AI

Gamified, AI-Powered Medical Learning Platform for Clinical Mastery, Wellness, and Accessibility

Inspiration

Medical students often struggle to connect foundational sciences to clinical practice while managing cognitive load and stress. Many existing tools are either too technical, too generic, or not accessible for neurodiverse learners.
We wanted to create a platform that uses AI to provide adaptive, gamified, and accessible learning, while supporting wellness and scaling globally.

What it does

MedRecap AI combines AI, gamification, and accessibility to enhance medical education. Features include:

🧠 AI for Healthcare:
Real-time generation of study guides, clinical diagrams, mnemonics, and quizzes using Google Gemini 2.5.
🎮 Mental Health & Wellness:
Gamified matching games and visual recall exercises reduce cognitive load and student stress.
♿ Accessibility & Patient Support:
Dual-view learning (Foundational vs Clinical), text-to-speech, mnemonics, and adjustable UI for neurodiverse learners.
🌍 Public Health & Community Impact:
Scalable online platform bridging educational gaps for medical students worldwide.
📊 Impact Metrics :
- Reduces study time by 50%
- Improves knowledge retention and exam preparedness
- Supports diverse learning needs and accessibility

How we built it

Frontend: React 19 + TypeScript + Tailwind CSS
AI Core: Google Gemini 2.5 (Logic/Text & Diagram Generation)
Gamification: Matching games, visual recall, mnemonics
Architecture: Single Page Application (SPA) with real-time AI requests; offline mode supported

Challenges we ran into

Integrating Gemini 2.5 API for real-time content generation
Designing interactive visual recall for neurodiverse learners
Balancing gamification to reduce cognitive load without overwhelming students
Scaling content to be relevant across different curricula and global student needs

Accomplishments that we're proud of

Successfully generated dual-view (Foundational + Clinical) study guides in real-time
Developed interactive gamified learning features that improve retention
Built accessibility features including text-to-speech, high-contrast mode, and visual recall
Designed a platform with scalability potential for global medical education

What we learned

How to integrate AI for real-time educational content generation
The importance of gamification in reducing cognitive load and improving engagement
Accessibility principles for diverse learners
Strategies to make educational technology scalable and impactful at a population level

What's next for MedRecap AI

Add adaptive difficulty quizzes for personalized learning paths
Incorporate mindfulness and focus features for mental wellness
Expand accessibility: multi-language support, offline mode, mobile-first design
Scale the platform for universities and global medical students to maximize public health impact