SWE Salary Prediction Web Application

This web application is designed to predict software engineer salaries based on real-time data from Stack Overflow. It utilizes machine learning algorithms to analyze 3 main factors: location, level of education, number of experience years and provide salary estimates for software engineering positions.

Features

• Salary Prediction: The web application predicts software engineer salaries based on inputs such as years of experience, education level, and location.
• Real-time Data: The application fetches the latest data from Stack Overflow to ensure accurate predictions based on up-to-date information.
• StreamKit Integration: The application is built using StreamKit, a powerful web development framework for building interactive and real-time applications.
• User-Friendly Interface: The web application provides an intuitive and user-friendly interface, making it easy for users to input their information and receive salary predictions.

Installation

To run the web application locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/TomNgo03/SalaryPrediction.git
   

2. Create a virtual environment (optional but recommended).

• On Linux/macOS:

  python3 -m venv venv
  

• On Windows:

  py -3 -m venv venv
  

3. Activate the virtual environment.

• On Linux/macOS:

  . venv/bin/activate
  

• On Windows:

  venv\Scripts\activate
  

4. Start the application:

   streamkit run app.py

5. Open your web browser and navigate to http://localhost:8503 to access the application.

Usage

• Fill out the necessary information in the provided input fields, including years of experience, programming languages, education level, and location.
• Click the "Predict Salary" button to generate a salary prediction based on the entered data.
• The predicted salary will be displayed on the screen, providing the estimated salary for the specified software engineering position.

Dependencies

• StreamKit: Web development framework for building real-time applications.
• Python: Programming language used for machine learning and data analysis.
• scikit-learn: Machine learning library for Python.
• Pandas: Data manipulation and analysis library for Python.

License

This project is licensed under the MIT License

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvement, please create an issue or submit a pull request.