Jamin AI is a comprehensive LLM Aggregator built with Node.js and Express backend, paired with a React (Vite) frontend. It seamlessly integrates multiple Large Language Models to help users process and analyze text files, YouTube videos, and handle complex question-answering tasks.

• 🤖 Multi-LLM Integration: Seamless access to OpenAI, Cohere, and Anthropic AI models
• 📄 PDF Intelligence: Smart document analysis with AI-powered Q&A capabilities
• 🎥 Video Analysis: Intelligent YouTube video summarization
• 📚 Research Assistant: Extract key insights from academic papers and journals
• 🎨 Image Generation: Create images on demand using Flux.1
• 🔑 API Management: Simple integration of pre-existing API keys

jamin/
├── backend/                # Backend server implementation
│   ├── src/                
│   ├── drizzle/            # Database migrations & seed data
│   ├── node_modules/       
│   ├── Dockerfile         
│   ├── drizzle.config.ts   # Drizzle configuration
│   ├── package.json        # Backend dependencies
│   └── tsconfig.json       # TypeScript configuration
│
├── frontend/               # React frontend application
│   ├── src/               
│   ├── public/             # Static assets
│   ├── tests/             
│   ├── node_modules/      
│   ├── .eslintrc.js       
│   ├── index.html         
│   ├── package.json        # Frontend dependencies
│   ├── postcss.config.js  
│   ├── tailwind.config.js  # Tailwind CSS configuration
│   └── vite.config.js      # Vite configuration
│
├── img/
|                   
├── .gitignore            
├── docker-compose.yml      # Docker compose configuration
├── Dockerfile.frontend     # Frontend Dockerfile
├── Dockerfile.backend      # Backend Dockerfile
├── kubernetes.yml          # Kubernetes configuration
└── README.md             

• ⚛️ React with Vite for fast development and building
• 🎨 Tailwind CSS with Daisy UI for styling
• 🎭 Framer Motion for smooth animations
• 📱 TanStack React Query for efficient data fetching
• 🛣️ React Router for navigation
• 🔧 TypeScript for type safety

• 📦 Node.js runtime environment
• 🚀 Express.js framework
• 🔐 Passport for authentication
• 📝 TypeScript for type safety
• 🔗 Langchain for LLM interactions
• 🗃️ Drizzle for database operations

• Node.js (v16 or higher)
• npm or yarn
• API keys for desired LLM services (OpenAI, Cohere, Anthropic)

1. Clone the repository:

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

2. Install backend dependencies:

cd backend
npm install

3. Install frontend dependencies:

cd ../frontend
npm install

1. Start the backend server:

cd backend
npm run dev

2. Start the frontend development server:

cd frontend
npm run dev

Build and run using Docker Compose:

docker-compose up --build

MIT License

Email: shashwatmain@gmail.com