🧠 Employee Salary Prediction Web App

This is a simple and interactive Machine Learning web app that predicts whether a person earns more than ₹50K/year based on their profile. The app is built using Python, Streamlit, and Scikit-learn.

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📌 Features

• ✅ Predicts salary category (>50K or <=50K)
• ✅ Built with Streamlit for easy web UI
• ✅ Logistic Regression ML model
• ✅ Data visualizations using Seaborn & Matplotlib
• ✅ Takes real-time user input

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🛠 Tech Stack

• Python
• Pandas, NumPy
• Scikit-learn (Machine Learning)
• Streamlit (Web Interface)
• Matplotlib, Seaborn (Charts)
• Plotly
• Joblib (Model saving)

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🚀 How to Run the Project

1. Clone the Repository

git clone https://github.com/your-username/employee-salary-prediction.git cd employee-salary-prediction 2. Install Requirements bash Copy Edit pip install -r requirements.txt 3. Launch the App If using the notebook:

bash Copy Edit streamlit run "employee salary prediction svk.ipynb" ⚠️ Note: For smoother experience, it's better to convert the notebook into a Python script app.py and run:

bash Copy Edit streamlit run app.py 🧪 How It Works User provides input like age, education, occupation, hours/week, etc.

The ML model makes a prediction on salary level.

Output is shown instantly on the web app.

📁 Dataset File: adult 3.csv

Based on UCI Adult Income dataset

Used for training and testing the model

📸 UI Preview (Optional) Add a screenshot of the Streamlit app here if you like.

🙌 Contribution Feel free to fork this repo and submit a pull request. Suggestions are always welcome!

📄 License This project is for educational use and is open source.

python Copy Edit

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Let me know if you'd like help with:

• Pushing it to GitHub step-by-step
• Converting the .ipynb into app.py
• Adding images or a demo GIF

I'm here to help you make it perfect! 🚀