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🚀 Rails Talent Forge AI

An intelligent, enterprise-grade Human Resources Management System built with Ruby on Rails, featuring advanced performance management, 360° feedback, and AI-powered insights.

🎯 Project Overview

Rails Talent Forge AI is a comprehensive HR platform designed to revolutionize how organizations manage talent, track performance, and foster employee growth. Built with modern Rails architecture and designed for scalability.

Key Features

🏢 Organization Management

  • Hierarchical Department Structure - Multi-level department trees with manager assignments
  • Position Management - Level-based position hierarchy with career path mapping
  • Employee Management - Complete CRUD with manager-subordinate relationships
  • Dynamic Org Charts - Auto-generated organizational visualization

🔐 Security & Authentication

  • JWT-Based Authentication - Secure token-based authentication
  • Multi-Role Authorization - User, Admin, Super Admin role system
  • Granular Permissions - Resource-based permission management
  • Password Policies - Enterprise-grade security requirements

📊 Performance Management

  • 360° Performance Reviews - Multi-source feedback collection
  • SMART Goal Tracking - Goal setting with progress monitoring
  • KPI Dashboard - Real-time key performance indicators
  • Performance Analytics - Trend analysis and predictive insights

🤖 AI-Powered Features (Roadmap)

  • Intelligent Feedback Analysis - Sentiment analysis and theme extraction
  • Performance Predictions - ML-based performance forecasting
  • Skill Gap Analysis - AI-driven competency recommendations
  • Smart Goal Suggestions - Context-aware goal recommendations

🛠 Tech Stack

  • Framework: Ruby on Rails 7.1+ (API mode)
  • Database: PostgreSQL with optimized indexing
  • Cache: Redis for multi-layer caching
  • Authentication: Devise + JWT
  • Authorization: Pundit (Policy-based)
  • API Documentation: Swagger/OpenAPI
  • Testing: RSpec (141+ tests, 35%+ coverage)
  • Frontend: React components (optional UI)

📈 Architecture Highlights

  • Service Layer Pattern - Separation of business logic
  • Policy-Based Authorization - Resource-level access control
  • Soft Delete Strategy - Safe data removal with recovery
  • Bulk Operations - Efficient batch processing (up to 50 items)
  • Advanced Caching - Redis-powered performance optimization
  • Database Optimization - Strategic indexing and query optimization

🚀 Getting Started

Prerequisites

  • Ruby 3.2.2
  • PostgreSQL 12+
  • Redis 6+
  • Node.js 18+ (for assets)

Installation

# Clone the repository
git clone https://github.com/yourusername/rails-talent-forge-ai.git
cd rails-talent-forge-ai

# Install dependencies
bundle install
yarn install

# Setup database
rails db:create db:migrate db:seed

# Start the application
bin/dev

API Documentation

Visit /api-docs for complete Swagger documentation with interactive API explorer.

📊 Current Status

Completed Features

  • Core organization management (100%)
  • User authentication & authorization (100%)
  • Performance management infrastructure (100%)
  • Comprehensive test suite (141 tests)
  • API documentation (Swagger)
  • Bulk operations with validation

🚧 In Development

  • Time & attendance tracking
  • Payroll management integration
  • Learning & development platform
  • Recruitment automation
  • AI-powered analytics

🎯 Target Market

  • SME Companies: 50-500 employees
  • Enterprise Organizations: 500+ employees
  • HR Departments: Human resources professionals
  • Management Teams: Performance-focused leaders

🧪 Testing

# Run the full test suite
bundle exec rspec

# Run with coverage report
bundle exec rspec --coverage

# Run specific test files
bundle exec rspec spec/models/
bundle exec rspec spec/controllers/

📝 Contributing

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

📄 License

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

🤝 Support

For support, email [email protected] or join our Slack community.


Built with ❤️ by the Rails Talent Forge AI Team

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This is an example backend structure with talent data model and built using cursor AI

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