Inspiration
Tons of people struggle with finding the right and accurate information when it comes to getting a car. We decided that making a platform which is able to personalize the process of buying a car.
What it does
It goes through a questionnaire, and then decides what is the best possible choice when it comes to finding a Toyota car which matches the person's needs and affordability's.
How we built it
We built this on an Agentic AI stack, which was the central processing unit for our project. After that we displayed the end result onto our our beautiful UI, inspired by the Toyota design philosophy.
Challenges we ran into
A challenge we ran into was being unable to provide a picture of the car which selected by the agent. This proved to be difficult due to a lack of datasets which cover that specific problem.
Accomplishments that we're proud of
Some accomplishments that we are proud of is having our UI be super fluid, and our agentic system being able to give the response super swiftly. This ensures that we are able to provide the customer with a fantastic experience.
What we learned
We learned to work together, in particular in our perseverance since there were a lot times in the hackathon in which we thought we are chasing the unattainable.
What's next for Project
What's next for the project is getting a dataset with pictures of Toyota cars and their trim levels and implementing that into our dataset.
Built With
- agnetic
- ai
- gemini
- openai
- python
- react
- sqlite
- typescript

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