This is a beginner-level Machine Learning web application that predicts a person’s expected monthly salary based on their years of experience. It uses Linear Regression, trained on a dataset from Kaggle. The final model is integrated with a Flask web app where users can input their experience and get salary predictions.

✅ This is my first end-to-end ML + Web Development project! I built it to learn how machine learning models are deployed in real-world applications. 📊 Dataset Source: Kaggle URL: https://www.kaggle.com/code/shubham47/linear-regression-salary-dataset/input Description: The dataset contains two columns — YearsExperience and Salary.

🔍 Project Overview Model: Linear Regression using scikit-learn Goal: Predict monthly salary from years of experience Input: Years of Experience (via web form) Output: Predicted Monthly Salary