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💡 Inspiration

In many homes, useful items remain unused while others are needed. Inspired by the traditional concept of adla-badli (barter), we wanted to modernize this trust-based exchange system using AI to make it fair, simple, and accessible.

🚀 What it does

AdlaBadli-AI is an AI-powered barter platform that helps users exchange goods without money. It suggests fair matches, estimates item value, enables real-time negotiation, and builds trust through reputation scores.

🛠 How we built it

Built using React + Tailwind CSS for the frontend, Node.js & Express for the backend, and MongoDB for data storage. We integrated Gemini AI for value estimation and matching, and Socket.io for real-time chat and negotiation.

⚡ Challenges we ran into

Creating fair value estimation was challenging due to subjective item worth. Ensuring trust, preventing fake listings, and maintaining fast AI recommendations were key hurdles.

🏆 Accomplishments that we're proud of

Digitized a traditional barter system

Built AI-based fair exchange matching

Designed a trust & reputation mechanism

Delivered a clean and intuitive user experience

📚 What we learned

We gained hands-on experience in AI-assisted decision systems, real-time communication, and building secure, user-focused platforms that solve real-world problems.

🔮 What's next for AdlaBadli-AI

Next, we plan to add location-based matching, improve AI accuracy, enable logistics support, and launch multilingual and mobile support for wider accessibility.

Built With

  • express.js-database:-mongodb-ai-&-agentic-workflow:-google-gemini-api
  • github
  • inngest-(event-driven-workflows-&-background-agents)-real-time-communication:-socket.io-cloud-&-media-storage:-cloudinary-authentication-&-security:-jwt-authentication
  • postman
  • role-based-access-control-tools-&-deployment:-git
  • tailwind-css-backend:-node.js
  • typescript-frontend:-react.js
  • vercel
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