car-sales

A Flask-based car sales prediction app that estimates a buyer’s budget using demographic and financial features, then recommends cars within that range. Includes model training, interactive web UI, and Heroku deployment.

This is a dynamic, full-stack web application that showcases a gallery of cars. The project is built with the powerful Laravel PHP framework on the backend, a PostgreSQL database for data persistence, and a clean, interactive frontend built with HTML, CSS, and vanilla JavaScript.

This web application halps the user to understand the trends and analysis of Automotive Industry in form of Visualization and demonstrate how the Automotive Industry could harness data to take informed decisions.

online service for car sale

Open a listing on nettiauto.fi, click Analysoi. Get reliability score, common problems, and strengths for that exact car.

For this group project, we took a look into which characteristics in vehicles drive sales in Norway. We then performed an ETL (extract, transform, load) on the data.

Responsive car sales site built with React using Vite. Allow users to view a list of cars, filter them based on their ownership types, and mark on their favorites.

A JavaFX application that forecasts product sales for the next two years using four distinct methods (Exponential Smoothing, Regression Analysis), with data managed in MongoDB.

Web scraping project for collecting and analyzing car sales data.

Car Manager is a car dealership plugin that is easy to use. Car Manager provides all the functionalities whether you want to build a small car dealer or a large car dealership. Car Manager is highly customizable it has a powerful interface for admin using which he can fully control all the functionalities and features of Car Manager.

ETL process for a Car Sales project.

A Resume Project: This Dashboard Shows Yearly Total Sales , Average Price Of Cars , Cars Sold, Weekly Trends, Dealer Region And color and body Style using Bar Graph and Pie Charts.

Data Science final project: car sales price prediction with CRISP-DM, Colab notebook, and FastAPI web app

Online Vehicle Sales and Purchase System Using .NET Core

Car Sales Analysis project in Tableau focuses on visualizing car sales data. It likely includes dashboards and KPIs related to sales trends, customer demographics, dealer performance, pricing, and inventory management, helping to uncover insights that drive business decisions in the automotive sales industry.

Using Logistic Regression to predict if a car sale is going to go bad.

MERN-stack car dealership platform

Statistical analysis of vehicles sales data using R, including PCA, factor analysis, clustering, and linear regression to identify factors influencing vehicle prices and sales performance.

A project finished 04-02-2026 as part of the TripleTen Data Science program using real-world data and mimicking real-world project requirements. Task was to train a machine learning model for use on the Rusty Bargain app to estimate a car's market value on demand. Lowest RMSE was 1710.25, and that model delivered predictions in 207 milliseconds.