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https://github.com/minel1410/car-price-predictor

A used car price prediction tool using a Random Forest model trained on 15,000 OLX.ba car listings. Built with FastAPI for real-time price predictions. Please allow up to 2 minutes for the server to boot up.
https://github.com/minel1410/car-price-predictor

fastapi machine-learning nextjs random-forest

Last synced: 15 days ago
JSON representation

Host: GitHub
URL: https://github.com/minel1410/car-price-predictor
Owner: minel1410
Created: 2024-08-25T18:25:53.000Z (5 months ago)
Default Branch: main
Last Pushed: 2025-01-02T22:23:13.000Z (25 days ago)
Last Synced: 2025-01-02T23:25:38.235Z (25 days ago)
Topics: fastapi, machine-learning, nextjs, random-forest
Language: JavaScript
Homepage: https://car-price.minelsalihagic.com
Size: 111 KB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

# [Car Price Predictor](https://car-price-predictor-six.vercel.app)

## Overview

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The **Car Price Predictor** is a frontend application built using Next.js. This application allows users to input detailed information about their car to receive a predicted price. The user provides data such as the year, model, brand, mileage, engine volume, engine power, body type, and fuel type of their car.
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The **Car Price Predictor** is a frontend application built using Next.js. This application allows users to input detailed information about their car to receive a predicted price. The user provides data such as the year, model, brand, mileage, engine volume, engine power, body type, and fuel type of their car.
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## Features

- **User Input Form**: Allows users to enter car details including:
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- **Brand**: Select from a dropdown list.
- **Model**: Select from a dropdown list that updates based on the selected brand.
- **Mileage**: Input in kilometers.
- **Engine Volume**: Adjust using a slider.
- **Engine Power**: Input in kilowats.
- **Year**: Adjust using a slider.
- **Body Type**: Select from a dropdown list.
- **Fuel Type**: Select from a dropdown list.
- **Registered**: Checkbox to indicate whether the car is registered.

- **Predicted Price**: After submission, the predicted price of the car is displayed based on the entered data.

## Technical Details

- **Frontend Framework**: Developed with Next.js for a responsive and interactive user experience.
- **API Integration**: Submits user data to an external API for price prediction. The API is hosted on a server that may enter sleep mode after periods of inactivity, which may cause a delay in response times. Users should expect that the prediction may take a few minutes in some cases due to this server behavior.

## Instructions

1. **Select Brand**: Choose a brand from the dropdown menu. The models will be populated based on the selected brand.
2. **Select Model**: Choose a model from the dropdown menu.
3. **Input Data**: Fill in the mileage, engine volume, engine power, and year using the input fields and sliders.
4. **Select Body Type**: Choose the body type from the dropdown menu.
5. **Select Fuel Type**: Choose the fuel type from the dropdown menu.
6. **Register Status**: Indicate if the car is registered by checking the checkbox.
7. **Submit**: Click the "Submit" button to send the data to the API and receive the predicted price.

## Notes

- **Response Time**: The API server hosting the model may enter sleep mode after periods of inactivity. As a result, the response time may be longer than expected. Please be patient if the prediction takes a few minutes to appear.