Automate Job Posting and Screening

Introduction

The "Automate Job Posting and Screening" project aims to streamline the recruitment process by automating job postings and candidate profile screenings. This system is designed to assist Talent Acquisition Managers, like Dinesh, in efficiently managing recruitment tasks with minimal manual intervention. The project will focus on integrating with specific job portals relevant to the Family Entertainment and F&B sectors, while also incorporating AI-driven profile screening capabilities.

System Overview

The system will automate the process of posting job vacancies and screening candidate profiles based on predefined criteria. It will integrate with targeted job portals to ensure job postings reach the right audience. The AI-driven screening feature will analyze candidate profiles to shortlist suitable candidates, thereby reducing the time and effort required in the recruitment process.

Functional Requirements

• As a Talent Acquisition Manager, I should be able to input basic job details such as role, job description, salary, and location.
• As a Talent Acquisition Manager, I should be able to automate job postings to specific job portals relevant to the Family Entertainment and F&B sectors.
• As a Talent Acquisition Manager, I should be able to automate the screening of candidate profiles based on predefined criteria.
• As a Talent Acquisition Manager, I should be able to receive notifications of shortlisted candidates.

User Personas

• Talent Acquisition Manager: Responsible for managing job postings and candidate screenings. Needs a streamlined process to handle recruitment efficiently.
• Job Candidate: Individuals seeking employment opportunities in the Family Entertainment and F&B sectors. They interact with the job portals where the system posts vacancies.

Visuals Colors and Theme

• primary: #1A73E8 (a deep blue to represent trust and professionalism)
• primary_light: #E8F0FE (a light blue for hover states and secondary UI elements)
• secondary: #FF6F61 (a coral hue for headlines and emphasis)
• accent: #FFD700 (a vibrant gold for call-to-action buttons and active states)
• highlight: #FFA500 (an orange hue for hover states and notifications)
• bg: #F5F5F5 (a soft gray for the page background)
• surface: rgba(255, 255, 255, 0.9) (a near-white for card/panel backgrounds)
• text: #333333 (a dark gray for primary text and headings)
• text_muted: #757575 (a medium gray for secondary text and labels)
• border: rgba(204, 204, 204, 0.5) (a light gray for subtle borders)

Signature Design Concept

The homepage will feature an interactive "Recruitment Journey Map" using @react-three/fiber and @react-three/drei. This 3D map will visually represent the recruitment process as a journey through different stages, such as "Job Posting," "Profile Screening," and "Candidate Shortlisting." Users can click on each stage to explore detailed information and interact with dynamic elements that animate as they navigate through the journey. The map will have smooth transitions and hover effects, creating an engaging and memorable experience.

Interaction Model & Motion Direction

The intended interaction model for the landing page is "parallax." The layered depth effect will be achieved through scroll-triggered animations, where decorative elements translate at different speeds, creating a sense of depth. Real content will scroll naturally, providing a visually rich first impression. Internal pages, such as dashboards and settings, will adopt a "static" model to prioritize layout clarity and reading speed.

Non-Functional Requirements

• The system should be scalable to handle multiple job postings and candidate screenings simultaneously.
• The system should ensure data privacy and security, especially when handling candidate information.
• The system should be user-friendly and require minimal training for Talent Acquisition Managers.

Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: MySQL or MariaDB, using Alembic for migrations
• AI Models: GPT 5.4 for user-friendly responses
• AI Tools: Litellm for LLM Routing, Langchain
• Local Orchestration: Docker, docker-compose
• Server-side Orchestration: Kubernetes

Assumptions and Constraints

• The system will primarily target job portals relevant to the Family Entertainment and F&B sectors.
• The AI-driven screening feature will rely on predefined criteria set by the Talent Acquisition Manager.
• The project will be developed with cost-efficiency in mind, utilizing open-source tools and platforms where possible.

Glossary

• Talent Acquisition Manager (TA Manager): A professional responsible for recruiting and hiring new employees.
• Job Portal: An online platform where job vacancies are posted, and candidates can apply.
• AI-driven Screening: The use of artificial intelligence to evaluate and shortlist candidate profiles based on specific criteria.