📝 AI-Powered Task Management System

An AI-powered task management system that supports real-time updates, user authentication, and intelligent task suggestions using OpenAI/Gemini API. Built with Golang (Fiber) for the backend and Next.js (TypeScript + Tailwind CSS) for the frontend.

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🚀 Features

• ✅ User Authentication – Secure JWT-based login and session management.
• ✅ Task Management – Create, assign, update, and track tasks.
• ✅ Real-Time Updates – WebSockets for live task synchronization.
• ✅ AI-Powered Suggestions – Use OpenAI/Gemini to suggest task breakdowns.
• ✅ Modern UI – Intuitive and responsive task dashboard with Tailwind CSS.
• ✅ Cloud Deployment – Deployed on Render (backend) and Vercel (frontend).

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📂 Project Structure

task-management-ai/
├── backend/          # Golang backend (Fiber Framework)
│    ├── api/         # REST API (Auth, Task APIs)
│    ├── internal/    # Business logic (DB, WebSockets)
│    ├── go.mod       # Go module configuration
│    └── main.go      # Entry point for backend
└── frontend/         # Next.js (TypeScript) frontend
     ├── components/  # Reusable UI components
     ├── lib/         # API calls (Axios-based)
     ├── pages/       # Next.js pages (index, auth)
     └── tailwind.config.js

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🛠️ Tech Stack

Backend:

• Go (Fiber Framework)
• PostgreSQL (or MongoDB)
• JWT Authentication
• WebSockets (Gorilla)
• OpenAI/Gemini API (for AI tasks)

Frontend:

• Next.js (TypeScript)
• Tailwind CSS
• Axios (API Communication)
• JWT (Client-side Auth)
• WebSockets (Real-Time Updates)

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📌 Getting Started

1. Clone the Repository

git clone https://github.com/Pragya81/task_management_AI.git
cd task-management-ai

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2. Backend Setup

cd backend
go mod tidy

Environment Variables (backend/.env):

PORT=8080
DB_URL=your_database_url
JWT_SECRET=your_jwt_secret
OPENAI_API_KEY=your_openai_api_key

Run the Backend:

go run main.go

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3. Frontend Setup

cd ../frontend
npm install

Environment Variables (frontend/.env.local):

NEXT_PUBLIC_API_URL=http://localhost:8080
NEXT_PUBLIC_WEBSOCKET_URL=ws://localhost:8080/ws
OPENAI_API_KEY=your_openai_api_key

Run the Frontend:

npm run dev

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🌐 Deployment Instructions

1. Backend Deployment (Render/Fly.io)
   • Set up the backend using Docker or native deployment.
2. Frontend Deployment (Vercel)
   • Link your frontend to Vercel for a seamless Next.js deployment.

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📊 API Endpoints

Method	Endpoint	Description	Auth Required
POST	/api/auth/register	Register a new user
POST	/api/auth/login	Login and get a token
GET	/api/tasks	Fetch all tasks	✅ Yes
POST	/api/tasks	Create a new task	✅ Yes
PATCH	/api/tasks/:id	Update a task	✅ Yes
DELETE	/api/tasks/:id	Delete a task	✅ Yes

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🤖 AI Integration

• Uses OpenAI/Gemini API for task suggestions.
• Automatically suggests subtasks and categorizes them based on priority.

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✅ To-Do (Future Enhancements)

• Docker & Kubernetes for scalable deployment.
• Slack/Discord bot for task notifications.
• Automate task prioritization with AI.
• Role-based access control (RBAC).

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👩‍💻 Contributing

1. Fork the repo.
2. Create a feature branch: git checkout -b feature/new-feature.
3. Commit changes: git commit -m "Add new feature".
4. Push to branch: git push origin feature/new-feature.
5. Open a pull request.

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