https://github.com/rahul-vinay/devsalaryinsights

An interactive Streamlit app that uses machine learning to predict software developer salaries based on education, experience, and country. Visualize global salary data from the Stack Overflow Developer Survey through dynamic charts and insights.
https://github.com/rahul-vinay/devsalaryinsights

data-visualization exploratory-data-analysis interactive-dashboard machine-learning python salary-prediction stack-overflow streamlit

Last synced: 4 months ago
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An interactive Streamlit app that uses machine learning to predict software developer salaries based on education, experience, and country. Visualize global salary data from the Stack Overflow Developer Survey through dynamic charts and insights.

• Host: GitHub
• URL: https://github.com/rahul-vinay/devsalaryinsights
• Owner: rahul-vinay
• Created: 2024-10-16T14:06:30.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-10-16T14:36:33.000Z (over 1 year ago)
• Last Synced: 2025-04-10T18:55:54.322Z (about 1 year ago)
• Topics: data-visualization, exploratory-data-analysis, interactive-dashboard, machine-learning, python, salary-prediction, stack-overflow, streamlit
• Language: Jupyter Notebook
• Homepage:
• Size: 10.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# DevSalaryInsights

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.

## Project Overview

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.

## Features

- **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.

## Project Structure

- `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.

## Setup and Installation

### 1. Clone the repository

      git clone https://github.com/rahul-vinay/DevSalaryInsights.git

      cd rahul-vinay

### 2. Set up a virtual environment (If on Windows, use):

     py -3 -m venv venv

     venv\Scripts\activate

### 3. Install the required dependancies (ensure streamlit, pandas and matplotlib are installed)

     pip install -r requirements.txt

### 4. Run the Streamlit app

    streamlit run app.py

## Usage

- **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:

![image](https://github.com/user-attachments/assets/d74e42d3-439b-4dfc-b6b7-4abe96d28c65)

Explore page to analyze trends:

![image](https://github.com/user-attachments/assets/a1a0f7bb-465f-4354-8bd7-bf609a3d76d4)

![image](https://github.com/user-attachments/assets/4a40123a-5289-4470-875d-226aa92665bb)

## Data Source

The data used in this project is sourced from the [Stack Overflow Developer Survey 2023](https://survey.stackoverflow.co/2023/).