Car-Price-Prediction

Data driven car valuations, made simple.

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I was inspired to build this project because car prices can vary widely, making it hard for buyers and sellers to know what a vehicle is worth. I wanted to make those estimates easier to explore with a simple web app.

I built a Flask application that uses vehicle details such as brand, year, mileage, fuel type, and transmission to estimate a car’s price. The site also presents model and dataset information, offers light and dark themes, and updates the estimate as users complete the form.

While building it, I learned how to connect a machine-learning pipeline to a web interface, validate user input, and present model results in a clear way. One challenge was making sure the page’s CSS, JavaScript, and prediction API all worked together—especially when the page was opened through a static server instead of Flask. I addressed that by checking the assets and API routes and trying a sample prediction through the app.

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Updates

posted an update —

Project Update: Car Price Prediction Using Machine Learning

I'm excited to share an update on my Car Price Prediction project!

The goal of this project is to predict car prices using vehicle-related data and machine learning techniques.

What I've Worked On:

  • Data preprocessing and cleaning
  • Exploratory Data Analysis (EDA)
  • Training machine learning models
  • Comparing model performance
  • Predicting car prices based on input features

Technologies Used:

  • Python
  • Pandas and NumPy
  • Scikit-learn
  • Matplotlib and Seaborn

What's Next?

I plan to improve the model's performance, explore additional features, and make the application more user-friendly. I also aim to explore AWS cloud services to understand how machine learning applications can be deployed and scaled in the cloud.

Building this project is helping me gain practical experience in data science, machine learning, and solving real-world problems.

I welcome suggestions and feedback from the community as I continue developing this project.

MachineLearning #Python #DataScience #CarPricePrediction #AWSBuilder

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