EcoSort is a web application designed to help users make environmentally conscious waste-sorting decisions using AI. Leveraging OpenAI's GPT-4 Vision model, EcoSort can analyze images to determine if items are recyclable, guiding users on correct disposal practices. EcoSort also features a real-time analytics dashboard that tracks and displays the cumulative impact of all users worldwide, showcasing the broader environmental contribution.

EcoSort is an AI-driven app that helps users identify recyclable items through image recognition. It also tracks global waste-sorting impact, making eco-friendly decisions accessible and impactful.

EcoSort tackles the global waste crisis by simplifying recycling decisions with AI-powered image analysis. Users can upload an image of a waste item, and EcoSort will classify it as recyclable or not, offering sustainable disposal guidance. The app also includes an analytics dashboard that aggregates and displays users' cumulative contributions, driving global awareness and positive environmental change.

⚙️ HOW IT WORKS

1. Upload an Image: Users upload a photo of a waste item.
2. AI-Powered Classification: GPT-4 Vision identifies if the item is recyclable.
3. Impact Dashboard: A global dashboard displays user contributions, showing the environmental impact over time.

🔧 How We Built It

1. Frontend: Built with HTML, CSS, and JavaScript for a responsive and user-friendly experience.
2. AI Integration: Integrated OpenAI’s GPT-3 and GPT-4 Vision models to classify images and provide recycling guidance.
3. Data Analytics: Created a real-time impact dashboard that displays collective user impact for global awareness.

🚀 Challenges We Faced

1. Ensuring accurate image classification for diverse waste items.
2. Building an intuitive and impactful dashboard for real-time data tracking.
3. Optimizing AI performance to provide real-time feedback on recyclability.

🎉 Accomplishments

1. Created an accessible and engaging tool for recycling education.
2. Developed an analytics dashboard that motivates eco-conscious behavior.
3. Leveraged AI to solve real-world waste management issues.

📚 What We Learned

1. The complexities of AI-driven image recognition in real-world applications.
2. The importance of UI/UX design for accessibility and user engagement.
3. How real-time data tracking can inspire positive environmental action.

📬 Thank You for Checking Out EcoSort!
EcoSort is a step toward a greener, more sustainable world. We welcome your feedback and ideas to make EcoSort even more impactful.

Try the project here