Drish-Mali/CV-Matching

## Introduction This project aims to a) parse given resume with multi-language support, b) provide job recoomendation given a CV ( top K jobs reccomendation in JSON fromat and c) provide top k candidates CV reccomendation given a job description. The project genrates reccomendations based on work experince, education and skills which is extracted from both the resume and job description. ## Installation and Run API end point To install the required dependencies and run FastAPI, run the following command: 1. Setup .env appropriately with the following fields: ``` OPENAI_API_KEY=' YOUR_OPEN_API_KEY' DBNAME=vector_db USER=postgres PASSWORD=pass123 PORT=5432 HOST=db ``` 2. Run the docker compose command: ``` docker-compose up --build ``` 3. To Access the API endpoint please have a look at API_documentation.md file. #### Note : Please note that setting up all the tables and data might take some time. Kindly be patient until the app.py is running and uvicorn is started at 0.0.0.0. ## Structure ``` ├── README.md # Project overview and instructions ├── requirements.txt # List of dependencies ├── .gitignore # Files to ignore in Git ├── data # Directory for data files │── app.py # scripts to run Fast API end points : extract_top_k_job,extract_top_k_cv │── language_handler.py # scripts to detct langauge used and transalte to english ├── notebooks # Jupyter notebooks │ ├── 1-dm-data-preperation-cv.ipynb # Notebook to create json files from CV pdfs │ └── 2-dm-data-extract-csv.ipynb # Notebook to create csv from json file of CV │ └── 3-dm-EDA-cv-data.ipynb # Notebook to vizualize CV data │ └── 4-dm-data-prepa …