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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