Auto Recommender

Inspiration

• The Project was inspired by the Toyota challenge of making an easy application that allows users to easily make decisions regarding financing their car purchase

What it does

• As of right now, it takes input from the user and produces the best decision using the backend

How we built it

• The backend was built with Prolog, a programming language following the logic programming paradigm

Challenges we ran into

• CORS was not working as intended for a while, but through constant debugging and help from AI I was able to fix it

Accomplishments that we're proud of

• I am proud of the project in general

What we learned

• I learned about high-level design

What's next for auto recommender

• I will be trying to add a chatbot feature to ease the communication, instead of a simple form, I

Built With

• prolog
• react