WasteWise

This is the landing page of WasteWise
Impact created by the app
The user's dashboard
This is a guide to sorting waste products
This is a reward system powered by Reinforcement Learning, enabling the model to learn user behavior and assign rewards based on actions.
This is where you can find the various services for recycling, composting, etc near your location

WasteWise: Smart Recycling and Sustainability App

Inspiration

WasteWise was inspired by the growing need for accessible recycling solutions in urban communities. After observing the confusion many people face when deciding how to properly dispose of various materials, and the lack of incentives for sustainable behavior, we set out to create a solution that makes recycling both easier and more rewarding.

The increasing volumes of waste in landfills, combined with low recycling rates in many areas, demonstrated a clear need for innovative approaches to waste management. We wanted to create something that would not only provide practical information but also motivate long-term behavior change through positive reinforcement.

What it does

WasteWise connects households and small businesses with local recycling and composting services through several key features:

Service Finder: An interactive map showing nearby recycling drop-offs and pickup options Waste Sorting Guide: A comprehensive guide to sorting waste correctly (recyclables, compost, landfill) Rewards Marketplace: Points earned for recycling, redeemable at local eco-friendly businesses User Dashboard: Tracking recycling impact and managing rewards Environmental Impact Stats: Visualizing collective community impact What makes WasteWise unique is its AI-powered rewards system that uses reinforcement learning to optimize what types of rewards to offer users based on their engagement patterns.

How we built it

WasteWise was built using a modern tech stack:

Backend Flask: Python-based web framework for the API Reinforcement Learning (RL): Custom Q-learning algorithm to optimize user rewards Gunicorn: Production-ready WSGI server Docker: Containerization for deployment Frontend React.js: Component-based UI library React Router: For navigation between app sections Google Maps API: For location services in the Service Finder Development & Deployment Docker: Container-based deployment Flask-CORS: Cross-origin resource sharing for API access Git: Version control

Challenges we faced

Building WasteWise came with several challenges:

RL Model Integration: Implementing a reinforcement learning system that could effectively learn from user behavior and optimize rewards was technically complex. We had to design a system that would work with limited initial data.

Service Data Collection: Gathering comprehensive and accurate data about recycling services across different regions proved challenging. We started with a focused area and developed a scalable approach to expand coverage.

User Engagement Design: Creating incentives that would genuinely motivate sustainable behavior required significant research into behavioral psychology and gamification principles.

Deployment Configuration: Setting up the proper Docker configuration for smooth deployment took several iterations. We needed to ensure the application would run efficiently and securely in production.

What we learned

Throughout this project, we gained valuable insights into:

Reinforcement Learning Applications: We deepened our understanding of applying RL to real-world user engagement problems Full-Stack Development: Improved our skills in connecting React frontends with Python backends Docker Best Practices: Learned about production-ready containerization techniques Environmental Impact Metrics: Researched how to quantify recycling benefits in meaningful ways

What's next for WasteWise

We have several exciting directions for future development:

Realtime integration of the user data and the nearby location on the maps. Mobile App: Developing native mobile applications for iOS and Android Image Recognition: Adding the ability to scan items to determine recyclability Community Features: Implementing neighborhood challenges and group incentives Business Partnerships: Expanding our network of reward-offering sustainable businesses IoT Integration: Connecting with smart recycling bins to automatically track recycling behavior