AI Hiring System - Intelligent Candidate Evaluation & Management

Live Demo: https://ai-hiring-system.web.app

A comprehensive, AI-powered hiring management system built with modern web technologies. Streamline your recruitment process with intelligent candidate evaluation, automated bias detection, and real-time analytics.

Features

Core Functionality

• AI-Powered Evaluation: Machine learning algorithms for candidate assessment
• Bias Detection: Automated identification of potential hiring biases
• Skills Matching: Intelligent matching of candidates to job requirements
• Real-time Analytics: Live dashboard with hiring metrics and insights

Hiring Management

• Candidate Management: Complete CRUD operations for candidate profiles
• Job Posting System: Create and manage job openings with requirements
• Interview Scheduling: Automated interview coordination and management
• Document Management: Resume upload, storage, and AI analysis
• Evaluation Tracking: Comprehensive candidate evaluation history

Technical Features

• Real-time Database: Firebase Firestore for live data synchronization
• File Storage: Firebase Storage for document management
• Authentication: Secure user management and role-based access
• Responsive Design: Mobile-first, cross-platform compatibility
• Modern UI/UX: Material-UI components with professional design

Technology Stack

Frontend

• React 18 - Modern React with hooks and functional components
• Material-UI (MUI) - Professional UI component library
• Firebase - Real-time database, authentication, and storage
• Recharts - Interactive data visualization and analytics
• React Router - Client-side routing and navigation

Backend

• FastAPI - High-performance Python web framework
• Python AI/ML - scikit-learn, NLTK, NumPy, Pandas
• AI Components - Resume parser, skills matcher, bias detector
• RESTful API - Comprehensive API endpoints for all operations

Infrastructure

• Firebase Hosting - Global CDN with SSL
• Firebase Firestore - NoSQL cloud database
• Firebase Storage - Cloud file storage
• Firebase Authentication - User management and security

Quick Start

Prerequisites

• Node.js 16+ and npm
• Python 3.8+
• Firebase account

1. Clone the Repository

git clone https://github.com/yourusername/ai-hiring-system.git
cd ai-hiring-system

2. Frontend Setup

cd frontend
npm install
npm start

3. Backend Setup

cd backend
pip install -r requirements.txt
python app.py

4. Firebase Configuration

1. Create a Firebase project at Firebase Console
2. Enable Firestore Database, Authentication, and Storage
3. Update frontend/src/firebase/config.js with your credentials
4. Deploy to Firebase Hosting: firebase deploy

Live Demo

Production URL: https://ai-hiring-system.web.app

Experience the full system with:

• Real-time candidate management
• AI-powered evaluations
• Interactive analytics dashboard
• Professional user interface

Project Structure

ai-hiring-system/
├── frontend/                 # React application
│   ├── src/
│   │   ├── components/      # Reusable UI components
│   │   ├── pages/          # Application pages
│   │   ├── firebase/       # Firebase configuration & services
│   │   └── App.js          # Main application component
│   ├── public/             # Static assets
│   └── package.json        # Frontend dependencies
├── backend/                 # FastAPI server
│   ├── app.py              # Main API server
│   ├── ai_components/      # AI/ML modules
│   └── requirements.txt    # Python dependencies
├── docs/                   # Documentation
└── README.md               # This file

API Endpoints

Candidates

• GET /api/candidates - List all candidates
• POST /api/candidates - Create new candidate
• PUT /api/candidates/{id} - Update candidate
• DELETE /api/candidates/{id} - Delete candidate

Jobs

• GET /api/jobs - List all jobs
• POST /api/jobs - Create new job
• PUT /api/jobs/{id} - Update job
• DELETE /api/jobs/{id} - Delete job

Evaluations

• GET /api/evaluations - List all evaluations
• POST /api/evaluations - Run new evaluation
• GET /api/evaluations/{id} - Get evaluation details

Analytics

• GET /api/analytics - Get hiring metrics
• GET /api/analytics/dashboard - Dashboard data

AI Components

Resume Parser

• Extracts key information from resumes
• Identifies skills, experience, and education
• Supports multiple document formats

Skills Matcher

• ML-based skills assessment
• Job-candidate compatibility scoring
• Intelligent recommendation system

Bias Detector

• Identifies potential hiring biases
• Ensures fair evaluation process
• Provides bias analysis reports

Candidate Evaluator

• Comprehensive candidate assessment
• Multi-factor evaluation scoring
• Performance prediction algorithms

Features in Detail

Dashboard Analytics

• Real-time hiring metrics
• Interactive charts and graphs
• Performance tracking
• Success rate analysis

Candidate Management

• Profile creation and editing
• Skills assessment
• Experience tracking
• Document management

Job Management

• Job posting creation
• Requirements specification
• Applicant tracking
• Status management

Interview System

• Automated scheduling
• Calendar integration
• Interview feedback
• Result tracking

Deployment

Firebase Hosting

cd frontend
npm run build
firebase deploy

Environment Variables

Create .env files for configuration:

# Frontend
REACT_APP_FIREBASE_API_KEY=your_api_key
REACT_APP_FIREBASE_PROJECT_ID=your_project_id

# Backend
DATABASE_URL=your_database_url
API_KEY=your_api_key

Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

Development Setup

1. Fork the repository
2. Create a feature branch: git checkout -b feature/amazing-feature
3. Commit changes: git commit -m 'Add amazing feature'
4. Push to branch: git push origin feature/amazing-feature
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Material-UI for the beautiful component library
• Firebase for the robust backend infrastructure
• FastAPI for the high-performance API framework
• React for the modern frontend framework

Support

• Issues: GitHub Issues
• Documentation: Project Wiki
• Email: your.email@example.com

Star History

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Made with dedication for better hiring experiences