Pomen

Inspiration

When we first moved here to State College and had a problem with our car, we had to individually check nearby mechanics one-by-one to compare the prices across mechanics in our area. This is a very tedious process which could very well be streamlined.

What it does

Our website will be the platform where mechanics and customers can connect by having customers post their damaged vehicle alongside a description and our AI model will determine the best price and reasoning for that. A post will then be generated and be posted on our listings tab which only mechanics can access and choose jobs from and start and chat with the custome. The customer can then choose from the mechanics that messaged them to fix their car.

How we built it

We mainly used streamlit to build the website. For our model, we used inference from Gemini. For our database, we chose to use mongodb because it's better at saving images than mysql. We also have google authentication for our account tab.

Challenges we ran into

We started building the website without knowing that our website will have 2 povs, one for mechanics and the other for customers. But streamlit doesn't support building a website for 2 pov's, we'd have to build it using more vanilla methods. Since we already built majority of the website before realizing this, we will just have both the mechanic's and customer's sections in the same pov for our demonstration.