iRecruit360

iRecruit360 is an innovative recruitment management system designed to streamline and enhance the hiring process. By leveraging AI and machine learning, it provides a comprehensive solution for evaluating and managing candidates through multiple interview rounds.

Table of Contents

• Features
• Architecture
• Installation
• Usage
• Project Structure
• Contributing
• License
• Contact

Features

• Candidate Account Management: Candidates can create accounts and manage their profiles.
• Applicant Tracking: Track applicant profiles, resumes, and status throughout the recruitment process.
• Interview Management: Conduct and manage interviews in three rounds:
  • Round 1: Personality analysis using K-means clustering.
  • Round 2: Video recording analysis.
  • Round 3: Resume extraction and automatic question generation.
• Team Collaboration: Enable team collaboration with multi-user access and customizable permissions.
• Analytics and Reporting: Utilize large language models to produce analytics and reports on candidate performance.
• Email Automation: Automated email notifications for HR to streamline communication.

Architecture

Frontend

• Developed using Next.js, Tailwind CSS, and TypeScript.
• Provides an intuitive and responsive interface for candidates and recruiters.

Backend

• Developed using Python and Flask.
• Handles business logic, data processing, and storage.
• Integrates with Firebase for real-time database management.

AI Integration

• K-means Clustering: Used for personality analysis in the first interview round.
• Large Language Models: Employed to generate performance reports and analytics.

Installation

Prerequisites

• Node.js
• Python 3.x
• Firebase account

Steps

1. Clone the repository:

   git clone https://github.com/MuhammedBasith/iRecruit360.git

2. Navigate to the project directory:

   cd iRecruit360

3. Install frontend dependencies:

   cd frontend
   npm install

4. Start the frontend server:

   npm run dev

5. Install backend dependencies:

   cd ../iRecruit360-backend
   pip install -r requirements.txt

6. Set up environment variables: Create a .env file in the iRecruit360-backend directory and add your environment variables as per the .env.example file.

7. Start the backend server:

   python server.py

Usage

1. Access the application: Open a web browser and go to http://localhost:3000 for the frontend.
2. Sign in or create an account: Begin by signing in or creating a new account to start using the platform.
3. Explore features: Utilize the dashboard to manage candidates, conduct interviews, and review analytics.

Project Structure

iRecruit360/
│
├── frontend/
│   ├── public/
│   ├── src/
│   ├── package.json
│   └── ...
│
├── iRecruit360-backend/
│   ├── irecruit360/
│   ├── manage.py
│   ├── requirements.txt
│   └── ...
│
├── .gitignore
└── README.md

Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a new branch.
3. Make your changes.
4. Submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

For any inquiries or support, please contact Muhammed Basith.