A Streamlit app that predicts software developer salaries based on education, experience, and location. Explore salary data from the Stack Overflow Developer Survey 2023 with interactive visualizations.
This project allows users to predict software developer salaries using machine learning models. Additionally, the app provides insights into the distribution of salaries across different countries and experience levels, derived from the Stack Overflow Developer Survey.
- Salary Prediction: Predict software developer salaries based on user inputs (education, experience, country).
- Salary Exploration: Visualize salary data across different countries and levels of experience.
- Interactive Charts: Explore salary distribution using pie charts, bar charts, and line charts.
app.py: Main script to run the Streamlit app.explore_page.py: Code for exploring salary data through visualizations.predict_page.py: Contains the logic for predicting salaries.survey_results_public.csv: Stack Overflow Developer Survey 2023 dataset used for predictions and insights.saved_steps.pkl: Pickled model file used for salary prediction.
git clone https://github.com/rahul-vinay/DevSalaryInsights.git
cd rahul-vinay
py -3 -m venv venv
venv\Scripts\activate
pip install -r requirements.txt
streamlit run app.py
- Salary Prediction: Navigate to the "Predict" page and enter details such as education level, years of experience, and country. The app will predict your estimated salary.
- Salary Exploration: Navigate to the "Explore" page to view charts and insights based on global software developer salary data.
Predict page:
Explore page to analyze trends:
The data used in this project is sourced from the Stack Overflow Developer Survey 2023.