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final frontend implemented, unintegrated with backend.

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Our team has developed a cutting-edge mobile app that leverages AI and computer vision to classify waste items in real-time using your device's camera feed. Just point your camera and snap a picture, and Bincredible will guide you on whether to recycle, trash, or compost in an instant! 🗑️♻️🌱

💡 Key Features:

  • Real-time waste classification powered by YOLO for simplified image classification.
  • Immediate disposal guidance with live camera feedback, ensuring a seamless and interactive user experience.

Our back-end API, built with Flask, allows real-time updates to user stats (items recycled, composted, or trashed), ensuring our users get meaningful insights into their waste reduction efforts.

🔧 Tech Stack:

  • AI/ML Development: PyTorch, YOLO 11, Llama 3.2
  • Mobile Front-End: React Native, EXPO CLI
  • Back-End: Flask for analytics

Our goal is simple yet impactful: make waste disposal smarter and reduce contamination in waste streams. 💪

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final frontend implemented, unintegrated with backend.

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  • JavaScript 80.6%
  • Python 19.4%