Taskaify

An AI-powered task management platform for organizing, tracking, and automating your workflow with intelligent task prioritization and collaboration features.

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🚀 Features

• 🤖 AI-Powered Task Management: Automatically categorizes and prioritizes tasks using AI.
• 📱 Cross-Platform Sync: Access your tasks from anywhere, on any device.
• 🛡️ Secure & Private: Your data is encrypted and stays private.

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🛠️ Tech Stack

• Frontend: Next.js, React, TypeScript, Tailwind CSS
• Backend: Node.js, Express
• Database: MongoDB
• Authentication: JWT, OAuth
• AI Integration: Gemini API
• DevOps: Docker

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🏁 How to Run

1. Clone & Install

git clone https://github.com/yourusername/taskaify.git
cd taskaify

2. Configure Environment

Backend (.env in server directory):

MONGODB_URI=mongodb://localhost:27017/taskaify
JWT_SECRET=your_jwt_secret
OPENAI_API_KEY=your_openai_api_key
NODE_ENV=development
PORT=5000

Frontend (.env.local in client directory):

NEXT_PUBLIC_API_URL=http://localhost:5000
NEXT_PUBLIC_ENV=development

3. Install Dependencies

# Install server dependencies
cd server
npm install

# Install client dependencies
cd ../client
npm install

4. Start Development Servers

Start Backend (from server directory):

npm run dev

Start Frontend (from client directory):

npm run dev

• Frontend: http://localhost:3000
• Backend API: http://localhost:5000
• MongoDB: mongodb://localhost:27017/taskaify

5. (Optional) Run with Docker

docker-compose up --build

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📦 Deployment

Prerequisites

• Node.js 16+
• MongoDB 4.4+
• Docker (optional)

Deployment Instructions

1. Set up a production MongoDB database (MongoDB Atlas recommended)
2. Configure environment variables in production
3. Build the application:

   # Build frontend
   cd client
   npm run build
   
   # Build backend
   cd ../server
   npm run build

4. Start the production server:

   cd server
   npm start

For cloud deployment, you can use platforms like:

• Vercel (Frontend)
• Railway or Render (Backend)
• MongoDB Atlas (Database)

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Built with Next.js, Express, and MongoDB.