Prototype for automation of the preliminary stages of recruitment using Data Science and AI. Web Application template for an ATS portal
HTML
The project aims to develop a prototype of a platform which can help streamline and scale up the
hiring process by automating the steps of recruitment that involve accepting applications,
gathering data and insights into the candidate pool, comparing candidates, ranking and
shortlisting all applicants. Such a platform could prove to be useful in carrying out large scale
recruitment campaigns by narrowing down the candidate pool for any specific job posting.
Now install all required libraries through requirements.txt
pip install requirements.txt
Now create a file with the name .env. Add all API Keys inside this file as text. Click here to know more about hidden API Keys as Environment Variables.
EXAMPLE_API_KEY=examplekeyvalue123
You can find all required keys in the k3y5.py, as imported environment variables.
Now run the Flask app app.py
python app.py
In your browser open http://localhost:5000 (or :{port-number} as specified by the Flask's development server)
Disclaimer
Aforementioned Project Darwin is still an experimental prototype. However instances fit for specific use cases can be spawned and developed for your use. In order to contact us for such an endeavor please check out the contributors for this project.