Job Recommendation System

This project employs Machine Learning (ML) and Natural Language Processing (NLP) techniques to construct a job recommendation system based on skill similarity. The model is developed using Python and several popular libraries.

Features:

Skill analysis of users based on job descriptions. Calculation of skill similarity to recommend relevant job offers. Simple user interface via a Flask web application.

Tools Used:

• Python: Primary programming language.
• Flask: Web framework for the user interface.
• BeautifulSoup: Data extraction from web pages.
• MongoDB: Data storage.
• Spacy: Natural Language Processing.
• Scikit-learn: Machine learning library..
• JSON: Data format.
• Matplotlib: Data visualization.

Configuration and Installation:

1. Prerequisites: Ensure Python is installed. Install dependencies by running pip install -r requirements.txt.
2. Database Configuration: Set MongoDB connection parameters in the config.py file.
3. Model Training: Execute the model training script with python training.py.
4. Web Application Launch: Start the Flask web application with python app.py.

Contact 👥

Feel free to reach out to us if you have any questions or suggestions:

Chaimae BOUYARMANE

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