Auto-Inventory

Inspiration

This project was inspired by my interest in machine learning in AI. All I have learned is algorithms and theory in school so creating my own ML model intrigued me.

What it does

My project is a trained ML model that utilizes the google vector AI platform. It uses entity extraction to help the user enter inventory into the database by just typing or speaking to it

How we built it

This was built using the MERN stack and using MongoDB atlas over MongoDB

Challenges we ran into

There were many challenges as I was not familiar with the google cloud and I still could not have access to the vector AI api because every time I call it I run into an internal error RST_STREAM with code 0. Many days were spent debugging this error and still could not be fixed

Accomplishments that we're proud of

I did create a all the components for the AI and the accuracy of the entity extraction model is not bad at all. The only issue would be getting the prediction response back from the model in order to store the product into the database