Wizard of Waverly Hacks

Inspiration

When doing oil changes, it tough to know where to take the oil. It would help to know where you could go and recycle the oil drained. ## What it does
The product scans items using a barcode scanner or AI recognition when a barcode isn't available and tells you where you can take it for recycling. ## How we built it
We used multiple APIs to implement the different scanning features. We also used a Google map API to show the location users could take their recyclables. We also provided a locally hosted AI assistant to help identify if items are recyclable or not. ## Challenges we ran into
We had a hard time getting the barcode scanner to work. We also had trouble with the AI recognition consistency and it's logic flow. ## Accomplishments that we're proud of
We were able to implement an AI that was able to recognize objects and give you information about what it's made out of. We are also proud how it shows the user where they can take it. We are also proud of the overall look of the website. ## What we learned Multiple API implementations, working with AI chatbots, understanding full stack development, learn how to self host AI model, and learn specific tools geocoding, SQLite, etc...
## What's next for Wizard of Waverly Hacks
We're finding to make the barcode scanning, and imaging more consistent and implementing a community tab.

I worked on designing and developing a working front-end, creating essential react components that were necessary for the backend to be fully utilized. I also worked as the record holder.

Diego Parra
I worked on putting all the pieces together. Tying the backend to the front end as well as being responsible for creating the local chat bot to use in the project as well as the ai image recognition. I also worked on implementing the barcode scanner. Also, leveraged ngrok software and gist (Github extension) for url inferences. Lastly, I helped fix bugs and helped with logic across the stack.

Anthony Padilla
I worked on parts of the front end with another group member, using React and TypeScript. We built the layout, background effects, and page views. The different pages were the home, recycle, and about pages. We also added a chat box that uses AI to assist users.

Chaston Cao
I worked on the backend, setting up SerpAPI to find local recycling rules, the geolocating feature to add context to the Serp prompt, the Google Maps API based on the geolocation, and the DataBase to store user information. I also assisted in setting up the barcode processing.

Adam Shavkin