🚀 ProManager: AI-Powered Project Management System

ProManager is a modern, full-stack project management application designed to streamline workflows, enhance collaboration, and leverage AI for intelligent task generation and risk analysis.

✨ Features

• 📊 Dynamic Kanban Board: Drag-and-drop tasks across different statuses (To Do, In Progress, Review, Done).
• 🤖 AI Task Generation: Automatically generate realistic tasks based on project descriptions and team skills using the Groq AI API.
• 🔍 AI Risk Analysis: Identify bottlenecks, overloaded team members, and potential delays with AI-driven insights.
• 👥 Team Management: Assign roles (OWNER, ADMIN, MEMBER, VIEWER) and manage project collaborators.
• 📈 Real-time Statistics: Track project progress with live task and member counts.
• 🎨 Modern UI/UX: Clean, responsive interface with smooth animations and intuitive design.
• 🔒 Secure Authentication: JWT-based authentication with role-based access control.

🛠️ Tech Stack

Frontend

• Framework: Angular 17
• Styling: Bootstrap 5, Custom CSS3 Animations
• Icons: Bootstrap Icons
• Real-time: WebSockets (STOMP/SockJS)

Backend

• Framework: Spring Boot 3
• Database: PostgreSQL
• Security: Spring Security + JWT
• ORM: Spring Data JPA (Hibernate)

AI Service

• Framework: FastAPI (Python)
• AI Engine: Groq Cloud (Llama 3.3)
• Validation: Pydantic

Infrastructure

• Containerization: Docker & Docker Compose

🚀 Getting Started

Prerequisites

• Docker and Docker Compose installed.
• (Optional) Groq API Key for AI features.

Quick Start with Docker

1. Clone the repository:

   git clone https://github.com/AyhamKsouri/project-manager.git
   cd project-manager

2. Configure Environment Variables: Update the docker-compose.yml file with your GROQ_API_KEY if you have one.

3. Run the application:

   docker compose up --build

4. Access the application:

   • Frontend: http://localhost
   • Backend API: http://localhost:8080
   • AI Service: http://localhost:8000

📁 Project Structure

project-manager/
├── frontend/          # Angular application
├── backend/           # Spring Boot API
├── ai-service/        # Python AI microservice
├── docker-compose.yml # Orchestration for all services
└── README.md          # Project documentation

🤝 Contributing

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📄 License

Distributed under the MIT License. See LICENSE for more information.

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Developed by Ayham Ksouri