AI Project Description

The EYE-RecAIcle project was the term project for Northeastern University's CS5500 Software Engineering Graduate class. It was developed as a team of 5 people. This is my original idea that stemmed from when a friend was confused about which bin they should dispose of their various types of waste. 

How It Works:

1. Capture the Waste Item:

   • A camera connected to Nvidia’s Jetson Nano captures an image of the waste item 📸.

2. Object Detection:

   • Using deep learning classification models developed in Jupyter iPython notebooks, the system identifies the object 🧠.

3. Send Detection Signal:

   • A signal with the detected object information is sent to the ThingSpeak Cloud ☁️.

4. Notify the User:

   • The cloud relays the signal to:

     • The Twitter API, sending a notification to the user 📱🐦.

     • A connected Arduino Board, which lights up or guides the user to the correct bin 🚮✨.

This project seamlessly combines AI, IoT, and cloud computing to solve a real-world problem. It was an exciting opportunity to explore computer vision and integration technologies while creating a solution with the potential to drive positive environmental change! 🌱🌎

Note: This project is the intellectual property of its creators and cannot be reproduced without written permission. 🔒✍️

Acknowledgements: Daniel Lisko, Yvette Green, Michael Chang & Matthew Vargas. 

Special thanks to Dr. Shivakumar Mathapathi for his guidance.

Animation Video created by me

Project Slides