ECOSCAN:AI Powered Waste Detection System

EcoScan – AI-powered waste classification for a cleaner, greener future. Scan, sort, and recycle with ease!" 🌍♻️

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Inspiration

Waste management is one of the biggest challenges of modern society, with millions of tons of waste being generated daily and only a fraction being properly recycled. A lack of awareness and easy access to recycling information prevents individuals from making sustainable choices.

EcoScan was built to revolutionize waste management using AI-powered waste classification, sustainability insights, and an engaging reward system. Our goal is to make waste identification, recycling, and community-driven cleanups seamless, educational, and rewarding.

What it does

EcoScan is an AI-powered waste classification system that goes beyond detection—it educates, engages, and empowers users to take action for a sustainable future. Here’s how it works:

1️⃣ AI-Powered Waste Detection Users upload an image of waste, and our AI model detects the waste type, determines if it is recyclable or non-recyclable, and provides a confidence score for accuracy. If the waste is recyclable, the user receives AI-generated recycling instructions tailored to that specific material.

2️⃣ Sustainability Insights AI suggests eco-friendly product alternatives to reduce waste generation. Users get detailed recycling guidelines to dispose of waste properly. Our AI fetches the nearest recycling locations using geolocation services, helping users find the best disposal options in their area.

3️⃣ AI-Powered Chatbot for Waste Queries Users can interact with an AI-powered chatbot to ask questions about waste management, sustainability, and best recycling practices. The chatbot provides instant, AI-driven responses, ensuring users have real-time support for their eco-friendly efforts.

4️⃣ Waste Reporting System & EcoPoints Rewards Users can report waste in their locality by submitting an image, title, location, and description. Each waste report earns 10 EcoPoints, which can be used for future rewards. Municipality Integration (Future Plan): By connecting EcoScan with municipal offices, authorities can track waste accumulation and plan better cleanup strategies.

5️⃣ Community Engagement Through Leaderboards The leaderboard system showcases users who earn the most EcoPoints for reporting waste and engaging with sustainable activities. In the future, we plan to allow users to redeem EcoPoints for discounts on sustainable products, vouchers, or exclusive rewards.

6️⃣ User Authentication & Profile Management Secure authentication with Email OTP verification ensures a protected user experience. Users can manage their profile, update details, track their EcoPoints, and even delete their account if needed.

7️⃣ Additional Features How It Works Page: A complete guide to help users navigate EcoScan. Contact Us Page: Users can reach out for support or feedback. Logout & Account Management: Full control over user sessions.

How we built it

EcoScan was developed using a modern, scalable tech stack to ensure smooth functionality and AI-driven efficiency:

Frontend: React.js, Next.js with Tailwind CSS for a responsive and seamless user interface. Backend: Python With FastAPI to handle authentication, API requests, and user data. Database: MongoDB to store user data, waste reports, and EcoPoints. AI Model: A deep learning model (ResNet50) trained on waste classification datasets. Train AI Model with PYTorch and TenserFLow. Generate Response by Openai Cloud Storage: AWS S3 for storing images and managing waste reports. Authentication: Secure Email OTP verification for user access control. Geolocation Services: Fetches the nearest recycling centers using GPS-based API calls.

Challenges we ran into

Developing a project of this scale came with several challenges:

Training a robust AI model: Ensuring high accuracy in waste classification required extensive dataset training and model fine-tuning. Building an AI-driven chatbot: Making the chatbot understand complex waste management queries and deliver relevant responses. Real-time location-based recommendations: Integrating geolocation APIs to find recycling centers closest to the user. User engagement mechanics: Designing a reward system (EcoPoints + leaderboard) to motivate users to contribute actively. Seamless authentication: Implementing Email OTP verification while keeping the user experience smooth.

Accomplishments that we're proud of

We are incredibly proud of the following achievements:

✅ Successfully built an AI waste classification system with high accuracy. ✅ Implemented real-time sustainability insights and recycling instructions. ✅ Developed a waste reporting system with EcoPoints rewards. ✅ Created a leaderboard system to encourage community-driven waste reduction. ✅ Designed a scalable authentication system with Email OTP verification. ✅ Ensured a clean and intuitive UI/UX for a seamless user experience. ✅ Train an AI Model using Deep Learning

What we learned

This project taught us valuable lessons in:

📌 Optimizing deep learning models for real-world waste detection. 📌 Building AI-powered chatbots for enhanced user interaction. 📌 Implementing reward-based engagement to motivate users. 📌 Scaling backend APIs for faster image processing. 📌 Creating a sustainable and community-driven waste management platform.

What's next for ECOSCAN:AI Powered Waste Detection System

We have ambitious plans to expand and enhance EcoScan with the following features:

🔹 Municipal Collaboration – Connect with local authorities for real-time waste tracking & cleanup efforts. 🔹 EcoPoints Marketplace – Allow users to redeem EcoPoints for sustainable products, vouchers, or charity donations. 🔹 Mobile App Launch – Bring EcoScan to Android & iOS for wider accessibility. 🔹 AI Expansion – Improve waste detection for hazardous waste & better sustainability insights. 🔹 Multi-language Support – Expand EcoScan’s reach to non-English-speaking regions. 🔹 More User Engagement – Introduce challenges, competitions, and badges to encourage eco-friendly habits.

conclusion

EcoScan is not just an AI-powered waste classifier—it’s a movement toward sustainable living, smarter waste management, and a cleaner future. By combining AI-driven technology, user engagement, and community impact, we aim to empower individuals to take action and make a difference in waste reduction.

Together, we can turn waste into opportunity, one scan at a time. ♻️

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Updates

posted an update —

Hi judges I train the model using pytorch and tenserflow so it storage size is large and my backend is not able to deploy on free version so i only send github repo of my frontend and backend and also images and demo video.

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