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https://github.com/falakrana/vehicle-price-prediction

Developed a machine learning-powered web app to predict vehicle resale prices based on make, year, kilometers driven, fuel type, etc. The backend is powered by Flask, with MongoDB Atlas for user authentication and a secure login system.
https://github.com/falakrana/vehicle-price-prediction

machine-learning mongodb-atlas python randomforestclassifier

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Developed a machine learning-powered web app to predict vehicle resale prices based on make, year, kilometers driven, fuel type, etc. The backend is powered by Flask, with MongoDB Atlas for user authentication and a secure login system.

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# ๐Ÿš— Vehicle Price Prediction

This is a web-based application that predicts the price of a vehicle based on various inputs such as brand, model, fuel type, year, and more. The application uses a machine learning model deployed via Flask and includes secure user authentication using MongoDB Atlas.

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## ๐Ÿ“Œ Features

- ๐Ÿ” User Authentication (Login & Register)
- ๐Ÿ“Š Vehicle Price Prediction using Machine Learning
- ๐ŸŒ Responsive Frontend built with HTML/CSS/JavaScript
- โ˜๏ธ Data stored securely in MongoDB Atlas
- ๐Ÿ“ฌ Contact form to receive user queries
- ๐Ÿง  Trained model for price prediction
- ๐Ÿงพ About Us page explaining the project

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## ๐Ÿ› ๏ธ Tech Stack

- **Frontend**: HTML, CSS, JavaScript
- **Backend**: Flask (Python)
- **Database**: MongoDB Atlas
- **Machine Learning**: Scikit-learn, Pandas, NumPy, Random-Forest

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## ๐Ÿš€ Installation

### 1. Clone the Repository
```bash
git clone https://github.com/yourusername/vehicle-price-prediction.git
cd vehicle-price-prediction