💼 Salary Prediction App This is a mini project that predicts salaries based on years of experience using a Simple Linear Regression model. The project includes both backend (model training) and frontend (interactive web app) using Streamlit. 📖 Project Description
The app takes Years of Experience as input and predicts the corresponding Salary using a trained machine learning model. It demonstrates the complete ML workflow:
Training the Linear Regression model
Saving the trained model using Pickle
Building an interactive Streamlit app for predictions
🛠️ Tech Stack
Python
Scikit-learn
NumPy
Streamlit
Pickle
📂 Project Files
app.py → Streamlit web app
linear_regression_model.pkl → Trained ML model
README.md → Project documentation
📊 Example Usage
Input: Years of Experience = 5
Output: Predicted Salary = $55,000 (example, depends on dataset)
🔮 Future Enhancements
Add more features (like education, job role, etc.)
Deploy on Streamlit Cloud for public access
Improve model accuracy with more advanced algorithms
✨ Built as a learning project to understand Machine Learning model deployment with Streamlit.