We were inspired by the frustration many students feel when traditional teaching methods don’t match their learning style. With 70% of learners reporting this mismatch, we wanted to build a solution that adapts to them instead of forcing them to adapt to the system.
What it does: Edumorph is an AI-powered platform that personalizes learning styles in real time. It detects whether a student learns best visually, auditorily, kinesthetically, or through reading, and then dynamically adapts lessons—switching formats instantly to keep engagement high and comprehension strong.
How we built it:
- Onboarding quiz to identify dominant learning styles.
- Adaptive lesson engine that transforms content into multiple formats on the fly.
- Realtime dashboard for tracking progress, engagement, and comprehension.
- Built with AI-driven content processing and a responsive interface to ensure seamless transitions between formats.
Challenges we ran into:
- Designing real-time adaptability without lag.
- Ensuring accuracy in detecting learning styles quickly.
- Balancing personalization with scalability for classrooms and corporate training.
- Creating intuitive dashboards that are useful for both students and educators.
Accomplishments that we're proud of:
- Built a working demo that adapts lessons live.
- Developed a quiz that identifies learning styles in minutes.
- Designed a dashboard that clearly visualizes progress and engagement.
- Created a solution that can scale from K-12 to universities and corporate training.
What we learned:
- Personalization is not just a feature—it’s essential for engagement.
- Real-time adaptability requires careful optimization of AI models and content delivery.
- Educators value clear, actionable insights as much as students value engaging lessons.
- Building for scalability early makes integration into diverse environments smoother.
Built With
- chartjs
- framermotion
- ga4
- next.js
- openai
- react
- recharts
- stripe
- supabase
- typescript
- ui
- vercel
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