Dua Saif

Dua Saif

Creator of BinGenie · Final Year AI Project

I am a final year student at Liverpool John Moores University with a passion for artificial intelligence and sustainable technology. BinGenie was created to explore how computer vision can help people make smarter recycling decisions and reduce environmental waste through simple everyday actions.

Techinal Specification 🔧

BinGenie uses an image recognition model trained to identify whether an item should be recycled or disposed of as organic waste.

Dataset Used

techsash/waste-classification-data/data

Training Images

Approximately 25,000+ images

Model Accuracy

Accuracy of approximately 92%

Tech Stack

  • Django (Backend + Routing)
  • HTML/CSS/JS (Frontend)
  • Hugging Face Transformers + PyTorch (AI Model)

Model predictions are based on visual recognition and may be affected by lighting, background clutter, or image quality. Recycling rules can also vary by region.

⚖️ Why BinGenie matters

Sorting waste is easy to get wrong. BinGenie reduces guesswork and makes correct disposal feel effortless.

Without BinGenie

  • People guess the correct bin
  • Recyclables get contaminated
  • Confusion leads to inconsistent habits
  • More items end up in landfill

With BinGenie

  • Instant AI decision from a photo
  • Clear output: Recycle or Waste
  • Encourages consistent sorting habits
  • Supports sustainability and awareness
📷 Snap 🤖 Decide ♻️ Dispose

🚀 Future vision

BinGenie is a prototype. Here’s how it can evolve into a real-world solution over the next few years.

Next

Improve reliability

Add “Not sure” handling, confidence-based guidance, and better training data for real-life photos.

Soon

More categories

Expand beyond binary labels to include plastic, metal, paper, glass, e-waste, and hazardous materials.

Later

Location-aware recycling rules

Integrate local guidelines (city/country) so the advice matches real recycling policy where the user lives.

Vision

Smart bins & real-time detection

Deploy in public areas or campuses: camera-equipped bins that guide users and track recycling impact.

The long-term goal is to make correct disposal the default — with AI assisting people at the moment of decision.