PriceRight

Inspiration

We wanted to create something that helps us make the most of the precious items we have. With how valuable some things can be, we realized they deserve to get the best possible price. That’s how PriceRight was born, to help maximize profit for us all.

What it does

PriceRight helps you find the best price for your precious items by predicting their optimal prices based on real-time data. You can sell your stuff, check out others, and even place things on hold. When you 'book' an item, you capture its price at a certain time and save that price for up 7 days.

How we built it

We used FastAPI to power the backend with secure authentication and manage the data. The frontend is built with React, using Tailwind CSS to style everything. The AI model predicting the prices is a machine learning model built with Python and RandomForest, and we integrated it into our system using APIs.

Challenges we ran into

There were some tough challenges, like making sure the real-time data was accurate and integrated correctly. We also had to figure out how to make the AI model work seamlessly with the system while keeping everything fast and smooth. Handling the inventory, listings, and ensuring the AI doesn't give any weird prices also was trickier than expected.

Accomplishments that we're proud of

We’re proud of how we managed to integrate machine learning into a real-world application. Our AI model actually gives pretty accurate predictions for the optimal prices! Also, making sure the user experience is smooth was a big accomplishment, with a clean interface and real-time updates.

What we learned

We learned a lot about how to integrate backend and AI in a way that feels natural for the user. Also, working with real-time data and making sure everything syncs up correctly took a lot more than we expected. And don’t forget, building and debugging the AI model was a journey of its own!

What's next for PriceRight

We’re planning on adding more features to PriceRight like adding a mobile app, allowing users to do more complex transactions, and fine-tuning our AI model to get even better at predicting prices. We also want to expand the inventory system and add more valuable items for our users.

Built With

• fastapi
• heroku
• javascript
• jwt
• postgresql
• python
• randomforest
• react
• scikit-learn
• sqlalchemy
• tailwindcss
• vite