♻️RecycloAI - Using AI to Drive Smarter Waste Disposal

 

 

Over the past few months, I’ve had the chance to work on a project that not only sharpened my technical skills but also opened my eyes to how tech can address real-world challenges.

Introducing RecycloAI - an intelligent, AI-powered waste classification tool designed to help users identify different waste types and receive custom disposal or recycling instructions.

🧠 What is RecycloAI?

RecycloAI is a web application that uses an AI trained model to recognize waste types from images - including plastics, metals, and more.

Once a user uploads or captures an image of waste, the app analyzes it and suggests the best disposal method: recycle, compost, or dispose off.

The goal is to reduce landfill waste by promoting smarter, more informed disposal decisions - all through a simple, intuitive interface.

💡 Key Takeaways

This project has been a tremendous learning experience. I’ve learned how to:

  • Integrate AI models into full-stack web applications.
  • Use version control (Git & GitHub) more effectively in a collaborative environment.
  • Work with APIs and async data flow between frontend and backend.
  • Improve my debugging and code documentation practices.

🙏 Special Thanks

A huge thank you to JHUB Africa , where I’ve been undertaking my external attachment. The mentorship, support, and exposure have been invaluable.A huge thank you also to the RecycloAI team for the great collaboration and shared efforts.

And above all, I thank God for the grace, wisdom, and strength to take on this project and see it through.

🌱 What’s Next?

RecycloAI is just the beginning. I’m working to improve the model’s accuracy and perhaps build a mobile version to make it even more accessible.


Excited for what lies ahead. If you’re passionate about sustainability and AI, I’d love to connect!

Let’s build solutions that matter. 🌍💡


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