Price Assist

Home page
Input form
Filling up the form
Calculated price

Inspiration

Selling a car is often a subjective choice, with some wanting to dispose it of within two years, while others want to retain it for 20 years if it’s still in working condition. If, however, you are keen on getting a good resale value for your car before you buy a new one

What should you do?
When should you sell it?
How should you ensure that it fetches you a good price?

What it does

Price Assist helps the users to get the best price for their used old cars in a matter of minutes.
If someone is interested to buy a second-hand vehicle, they will know whether the price offered by the seller is overpriced or not.

How we built it

For the frontend part, we used ReactJS and the backend is developed in Django Framework.
Our app makes use of a well-trained RandomForest Regressor model to predict the price of cars using given parameters.

Challenges we ran into

As it was our first time creating a hybrid project using Django and ReactJS, we faced a lot of difficulties to connect the custom backend with our frontend.
Building REST APIs with Django integrating the ML model was a major challenge for us.

Accomplishments that we're proud of

We have successfully created the project which fulfils each and every functionality we aimed for in the given period of time.

What we learned

We learnt connecting Django backend with ReactJS.
We learnt building REST APIs with Django that integrates our ML model.

What's next for Price Assist

We are planning to add more features to the app like User Authentication, Personalised Dashboard Access, Adding notification alerts for second hand cars on sale using 3rd party APIs and also improving the ML model using more refined datasets and analysis.