GitHub Link

Here's the link to the GitHub Repository

Inspiration

Knowing which waste to recycle can be confusing at times, but it is crucial that recycling is done the right way, to prevent global pollution and global warming. There is so much waste on earth to recycle, and we shoud be able to manage it, not add to it.

What it does

Using Artificial Intelligence, you can interact with Greenovia to know what wastes should or should not be recycled. After a sign-up and login, you start Zeebo, a machine learning model, that tells you if your product can or cannot be recycled. All you need to do is Start Zeebo, and point your camera to your waste, and watch Zeebo do it's thing.

How I built it

I trained a machine learning model using Google Teachable Machine that identifies wastes as Recyclable, Non-recyclable and Other. I created a website for Zeebo, using Python Flask, HTML, CSS and JS. I set up a remote database for user sign up and login, I also implemented the needed functionality as well.

Challenges I ran into

I had to fix the error of user sign-up and login, and integrating the AI model into our website.

Accomplishments that we're proud of

Integration of the AI model, User sign up and Login, Training a Google Teachable Machine

What we learned

Integration of AI models into websites, Training of AI models, Remote Database setup

What's next for Greenovia

Integration into real life applications

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