This is a group project for CSC366 Database Modeling and Design. We are working with two clients (Anya Goodman and Dan Bacharach) to create a web application that utilizes the ONET Job Database to create a recommendation engine for jobs based on a number of job characteristics.
- excel-parse : Directory responsible for parsing all data given in excel format by the clients, including fake data to populate DB and ONET to Profile characteristics mappings.
- onet-parse : Directory responsible for pinging ONET Web Services API to fetch all STEM jobs and their respective relevant data.
- populate.py : The script gets both directories data and populates DB tables.