Refonte-Learning-Public-Projects

This repository provides implementations in Python, JavaScript, and Java, each placed in dedicated folders, to predict future salaries for data science and related roles, including cybersecurity and software engineering using multiple analytical models (e.g., BERT, CAGR, inflation-adjusted forecasting) .

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Getting Started

1. Clone the Repository

git clone https://github.com/Refonte-Infini/Refonte-Learning-Public-Projects.git
cd Refonte-Learning-Public-Projects

2. Pick a Sub-Project

Choose one of the domain-specific prediction projects:

cd cybersecurity-salary-guide-prediction
# or
cd software-engineering-salary-guide-prediction
# or
cd data-science-salary-guide-prediction

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Install Dependencies & Run

Each sub-project uses a different stack. Use the first matching setup below based on the files in the folder.

Python Projects

(if you see requirements.txt or main.py)

python -m venv .venv

# macOS/Linux:
source .venv/bin/activate
# Windows:
# .venv\Scripts\activate

pip install -r requirements.txt
python main.py

Node.js / JavaScript Projects

(if you see package.json)

npm install
npm run start

Java Projects

Maven (pom.xml):

mvn clean install
mvn exec:java

Gradle (build.gradle):

./gradlew build
./gradlew run

Always check first: If the folder contains README.md, requirements.txt, package.json, pom.xml, or build.gradle, follow its instructions before running generic commands.

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Contributing

We welcome contributions!

1. Fork the repo
2. Create your feature branch:

   git checkout -b feature/your-improvement

3. Commit your changes:

   git commit -m "Add your improvement"

4. Push to the branch:

   git push origin feature/your-improvement

5. Open a Pull Request

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License

This project is licensed under the MIT License, see the LICENSE file for details.

Contact

For questions, improvements, or extensions, please open an issue or contact the Refonte team at
contact@refonteinfini.com