Recruit Tracker

Runner Up: Fullstack Development @ UA Innovate 2024

This is one of three repositories for this project. To see the database and backend go to the organization page.

Tools Used

• React For rendering jsx elements and creating UI
• Npm Package management and frontend server management
• OpenAI For automated candidate review via passed in parsed resume data
• Docker Containerization of frontend, backend, and database
• FastAPI Python api creating routes for MongoDB and OpenAI queries
• JWT Tokens For login authentication and authorization preventing students accessing HR platform
• MongoDB For candidate data tracking

Architecture

This is a CRUD (Create Read Update Delete) Application implemented with MongoDB. So students can create data. Recruiters can read data by searching via different fields. Both recruiters and candidates can update their data, and only recruiters can delete candidates.

Login

Candidate Form Submission

Candidate Portal

Candidate Portal

Using Search Functionality

Editing Candidate Profile

AI Feedback

Recruiters can either add feedback manually with the + button, they can also use AI. This is produced by parsing of the uploaded resume and a call to OpenAI.

Updating Student

Authentication