Inspiration: We noticed that small repair shops throw away a lot of old electronics, and India’s e-waste recycling rate is very low. We wanted to fix that using technology What it does: The app lets users and shopkeepers click a photo of old electronics, find out its value, and request a pickup. The items go to verified recyclers How we built it: We used an AI model to recognize electronic parts, built a simple app with voice and offline features, and added a backend to track pickups and rewards. Challenges we ran into: We had trouble finding good image data for training the AI, making the app work in low internet areas, and managing pickup routes for many users. Accomplishments that we're proud of We built a working model that connects users, shops, and recyclers. It’s easy to use, follows government rules, and rewards users for helping the environment. What we learned: We learned how small changes can make a big impact, how to design for all types of users, and how tech can solve real-world problems like e-waste. What's next for the project: We plan to test the app in one city, work with recyclers and CSR partners, add local language support
Built With
- api
- authentication
- cloud-functions)-cloud-hosting:-firebase-hosting
- dart-(flutter)-mobile-app-framework:-flutter-(cross-platform-android/ios)-backend:-firebase-(realtime-database
- figma-(ui/ux-design)
- google-cloud-ai-model:-tensorflow-(image-classification-for-e-waste-parts)-apis:-google-maps-api-(pickup-routing-&-location)
- google-vision-api-(optional-enhancement)-other-tools:-github-(version-control)
- javascript
- languages:-python-(for-ai-model)
- postman
Log in or sign up for Devpost to join the conversation.