🚨 "An AI-powered peer-to-peer learning economy that verifies, incentivizes, and gamifies skill exchange, aligned with India’s skill development mission."
- Problem Statement ID: SIH25140
- Problem Statement Title: Student Innovation: Swadeshi for Atma nirbhar Bharat - Smart Education
- Theme: Smart Education
- Category: Software
- 🤖 AI Matching – Smart pairing based on learning goals & teaching styles
- 💵 Token Economy – Earn by teaching, spend to learn
- ✅ Verified Skills – AI + peer-generated micro-certifications
- 🎮 Gamified Learning – Duels, streaks, leaderboards
- 💰 Token-based skill exchange economy.
- 🔥 Gamification: streaks, leaderboards, micro-certificates.
- 🌐 Online + offline learning support.
- 🗣️ Social feed & peer reviews.
- High demand for skills training in India's job market
- Proven technology stack (edtech + blockchain)
- Government policy support (NEP 2020, Skill India)
- Growing acceptance of peer learning models
- User trust in peer-taught content
- Maintaining quality control at scale
- Preventing token system abuse
- Reaching users with limited digital access
- Sustaining long-term engagement
- Skill verification + peer review system
- AI-powered content moderation
- Token caps and anti-gaming measures
- Offline hubs + mobile-first design
- Gamification and strategic partnerships
- Students & Youth: Affordable access to diverse, in-demand skills
- Professionals: Upskilling & cross-domain learning
- Communities: Builds strong peer networks & collaboration
- Rural / Underserved Groups: Bridging digital & skill gaps
- Social: Inclusive, community-driven learning
- Economic: Token economy encourages skill monetization
- Educational: Verifiable micro-certificates boost credibility
- Environmental: Hybrid learning reduces travel & resource use
- National: Advances NEP 2020 and Skill India goals
- Token Economy in Education: Boosts engagement & learning
Tan et al., 2022 – MDPI | PubMed Meta-analysis 2019 - Peer-to-Peer Learning Systems: Effective for skill sharing
Springer 2010 | BMC Med Educ 2023 - AI & Adaptive Learning: Personalization enhances outcomes
RiPPLE – Arxiv 2019 - Community & Motivation: Peer support improves retention
Arxiv 2021 - Hybrid/Offline Models: Feasible in low-resource settings
P4L – Arxiv 2023
💡 Takeaway: Research supports the feasibility of token economies, AI-driven pairing, peer learning, and hybrid models: all core to Skill Sangam.
- Active Users (Monthly)
- Skill Exchanges Completed
- Verified Micro-certificates Issued
- Token Economy Activity (Earned & Spent)
- User Satisfaction Ratings
- Rural vs Urban User Adoption
- AI Skill Match Accuracy
| Platform | Supported? |
|---|---|
| Web (any browser with JS functionality) + Fully Responsive | ✅ |
| Android (non-natively through WebView) | ✅ |
- Frontend: HTML, CSS, JavaScript, React
- Backend / Database: Node.js + MongoDB / Firebase
- AI Features: TensorFlow.js / Python microservices
- Hosting: Vercel / Netlify
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Clone & Download the Repo
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Install NodeJS on your system.
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Navigate to frontend-web/ & Open the project in your preferred IDE.
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Run in Terminal to Install all dependancies:
npm i
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Get all api keys in env.template as set them in your env:
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Run in Terminal to Start Development Server:
npm run dev
- Soon.
- Soon.
This project is licensed under the MIT License - see the LICENSE file for details.
- ✅ Commercial use
- ✅ Modification
- ✅ Distribution
- ✅ Private use
- ❌ Liability
- ❌ Warranty
Developed with 💖 for the Smart India Hackathon 2025, with heartfelt thanks to SIH for the opportunity to build and innovate.
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