This project employs a Linear Regression model to predict salaries based on essential features such as years of experience, education level, and job role. Integration with MongoDB ensures efficient storage and retrieval of relevant data. 🚀

The goal of this project is to accurately predict salaries using a Linear Regression model. MongoDB is employed for data storage and retrieval, enhancing the scalability and flexibility of the solution. The web application, built with Flask, allows users to input their information and receive precise salary predictions. 🎯

• Data Collection and Storage: 📊 Dataset collection and storage in MongoDB for scalability.
• Data Preprocessing: 🛠 Handling missing values, outliers, and feature scaling.
• Model Development: ⚙ Implementing a robust Linear Regression model.
• Database Integration: 🔄 Seamless integration with MongoDB for efficient data retrieval.

• Python 3.7+
• MongoDB 4.0+