MindSnap is a community-powered microlearning platform built for the next generation of learners — fast-paced, short-attention, always-on.
We bridge the widening gap between quality educational content and the modern-day consumption habit formed by short-form content like Reels, Shorts, and TikToks.
Using AI, gamification, and Web3 rewards, MindSnap makes learning addictive, engaging, and rewarding.
Feed in YouTube links, PDFs, images, audio, or plain text — MindSnap transforms any format into concise, swipeable flashcards in seconds.
Make learning match your mood. Select your preferred style:
- Factual – Crisp and to-the-point
- Conceptual – Logical and in-depth
- Story Mode – Narrative-driven learning
- Gen Z – Casual, quirky, and relatable
Upload a PDF and receive a cleanly highlighted version, with key content auto-selected by our ML model using confidence-based ranking — ideal for revision and focus.
Each card unlocks a mini AI assistant. Ask it to:
- Explain difficult concepts
- Summarize dense info
- Expand on short answers
- Translate content into Hindi, Bengali, or any major language
After every flashcard set, MindSnap builds a tailored quiz. Your score is:
- Stored automatically
- Synced live to your leaderboard rank
Challenge your friends in private quiz arenas:
- Share a unique room code
- Face off in fast-paced, real-time duels
- Earn XP, ranks, and token rewards — bragging rights included
- 📈 Live leaderboards (weekly & monthly)
- 🏅 Hall of Fame with top performers spotlighted
- 🎉 Token rewards sent directly to your wallet
💡 Smart Contract deployed on Base Sepolia
0x0275e553e47c4f11074bdFe4651164b98906c0F4
Stay on top of your learning journey with real-time stats, rank, quiz history, and wallet activity — all in one place.
Seamless login with Civic Auth, ensuring your sessions are safe, private, and Web3-compatible.
A snapshot of the entire workflow, from upload to leaderboard:
- Node.js (v18+)
- Python (v3.10+)
- Git
- npm or yarn
git clone <your-repo-url>
cd MindSnapcd agent
python -m venv venv
# Windows:
venv\Scripts\activate
# macOS/Linux:
source venv/bin/activate
pip install -r requirements.txtcd frontend
npm install
cp .env.example .env.local# Start Backend
cd agent
python app.py
# Start Frontend
cd ../frontend
npm run dev