This is a Python-based job matching system using NLP techniques and cosine similarity algorithms for skill and job alignment.

The job match engine consists of multiple components:

• main.py: Entry point of the program.
• job.py: Defines the Job class.
• candidate.py: Defines the Candidate class.
• nlp_utils.py: Contains NLP utilities for processing text data.
• cosine_similarity.py: Implements cosine similarity calculation.
• job_database.py: Manages the database of available jobs.
• candidate_database.py: Manages the database of candidates.
• job_match_engine.py: Implements the core logic of the job matching engine.
• user_interface.py: Provides the user interface for interacting with the system.
• requirements.txt: Contains the required dependencies for the project.

1. First, ensure you have all dependencies installed by running:

   pip install -r requirements.txt
   

2. Then, run the main script:

   python main.py
   

3. Follow the instructions in the user interface to add jobs, candidates, match candidates to jobs, and view the results.

• nltk: Natural Language Toolkit for NLP processing.
• scikit-learn: Library for machine learning algorithms.
• numpy: Library for numerical computing.