Doctor Green – Your AI guide to recycling

Doctor Green leverages AI to make recycling effortless: snap a picture, and Doctor Green will identify the material and guide you to the nearest US recycling location. Smart, easy, and eco-friendly.

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Inspiration

While many people want to recycle, we currently don't have user-friendly, accessible solutions to help them do it efficiently. Therefore, we're developing a simple, accessible tool that anyone can use regardless of their recycling knowledge. With Doctor Green, we aim to solve this problem by providing a platform to identify recyclable materials and locate nearby recycling centers.

What it does

Our AI-powered mobile app analyzes items via photo recognition, categorizes their recyclability, and directs users to the nearest recycling center in the USA. Our targeted users would be: Primary Users: Environmentally Conscious Millennials and Gen Z (aged 18-35): They are motivated to reduce their environmental impact. They are tech-savvy, prefer user-friendly apps, and actively seek ways to recycle and manage waste better. They value convenience, and quick access to information, and often use mobile technology for day-to-day tasks. They love intuitive apps that provide immediate results. Secondary Users: Busy Professionals: These users care about recycling but are often pressed for time. They want fast, reliable information that can be accessed on the go. Urban and Suburban Families: Parents might use the app as a tool to teach their kids about sustainability.

How we built it

For the front end, we used Flutter to create a responsive mobile interface that allows users to capture images of items for recycling. On the backend, the app sends captured images to a GPT4 API for photo recognition, which categorizes the items based on their material. Then, the app determines the recyclability of the material and provides users with the nearest recycling locations through Google Places API. The app features a scoring system that tracks material type, recyclability category, item size, and the user's recycling streaks to enhance user engagement.

Challenges we ran into

It took us a long time to make the app functional.

Accomplishments that we're proud of

Our app is fully functional with an intuitive UI/UX design. The app’s response time is fast, which allows users to get recyclability information. Additionally, we’ve implemented a points system that boosts user engagement by rewarding consistent recycling habits.

What we learned

We learned how to create an AI agent to solve real-world challenges. We also gained insights into integrating the GPT4 Large Language Model to improve our app's functionality.

What's next for Doctor Green – Your AI guide to recycling

We plan to improve Doctor Green with a modernized UI for an even smoother user experience. Future updates will introduce a social feature where users can add friends and compete on a local leaderboard to boost engagement. We will also implement automatic point updates triggered by chatbot responses, allowing users to see their recycling progress instantly after interacting with the app.

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