BinTelligence

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Inspiration

Recycling is confusing, inconsistent, and often ignored. Many people want to help the environment but don’t know what goes where. We wanted to make recycling simple, engaging, and rewarding using AI.

What it does

BinTelligence is an AI-powered recycling system that classifies waste in real time. Using computer vision, it identifies items (plastic, aluminum, paper, organic, trash) and sorts them accordingly while providing user feedback and confidence scores.

How we built it

We combined hardware and software to create a smart system:

• Computer vision model for waste classification
• Camera input for real-time detection
• Microcontroller/embedded system to control sorting mechanisms
• Web interface to display results, confidence levels, and user interaction

Challenges we ran into

• Training/choosing a model that can reliably classify real-world trash
• Handling inconsistent lighting and object positioning
• Problems with stepper motors and drivers
• Time constraints during the hackathon

Accomplishments that we're proud of

• Real-time classification with confidence scoring
• Functional prototype integrating AI + hardware
• Clean UI showing results and system feedback
• Strong concept with real-world environmental impact

What we learned

• How to integrate AI with physical systems
• Real-time inference optimization
• Hardware/software communication
• Building a full-stack prototype under time pressure

What's next for BinTelligence

• Improve model accuracy with larger datasets
• Add reward system + user accounts
• Deploy in schools, campuses, and public spaces
• Expand to detect more materials and edge cases

Built With

• arduino
• computer-vision
• mongodb-atlas
• next.js
• node.js
• opencv
• python
• raspberry-pi
• react
• rest-apis
• ultralytics-yolo
• vercel