Here's an updated version of the README file with separate usage instructions for the server and client repositories, including Docker instructions for the server:

This AI Assistant offers a highly personalized user experience by remembering and utilizing the context of past interactions, enhancing natural conversation flow and efficiency in daily tasks. The project integrates a high-performance backend and an intuitive frontend, supporting up to 2000+ users while providing rapid, responsive interaction capabilities.

• Context-Aware Interactions: The assistant remembers past interactions, allowing for a natural, seamless conversation flow, making daily task management more efficient.

• High-Performance Backend: Built with Express.js and MongoDB, the backend is optimized to handle a large user base, ensuring scalability and reliability.

• Intuitive User Interface: The frontend, developed using React.js, offers a responsive and user-friendly experience, catering to both desktop and mobile users.

• Google Gemini Integration: Leveraging the power of Google Gemini, the assistant enhances user interaction capabilities, reducing customer inquiry resolution time to less than 2 minutes.

• Backend: Node.js, Express.js, MongoDB
• Frontend: React.js, JavaScript, HTML, CSS
• API Integration: Google Gemini API
• Containerization: Docker

• Server: AI Assistant Server Repository
• Client: AI Assistant Client Repository

1. Clone the server repository:

   git clone https://github.com/pruthiraj-97/AI-Friend-Server.git
   cd AI-Friend-Server
   start server node index.js

2. Build and run the server with Docker:

   docker pull pruthiraj/ai-friend-image
   docker run -d -p 4000:4000  pruthiraj/ai-friend-image

3. Check the server: The server should be running on http://localhost:4000.

1. Clone the client repository:

   git clone https://github.com/pruthiraj-97/Ai-Friend-client.git
   cd Ai-Friend-client

2. Install client dependencies:

   npm install

3. Run the client:

   npm run dev

4. Access the client: Open your browser and navigate to http://localhost:3000.

• Personalized Interactions: Start a conversation, and the assistant will remember your context, making follow-up interactions more intuitive and efficient.

• Task Management: Use the assistant to manage daily tasks quickly and effortlessly, leveraging its understanding of your past interactions.

• Fast Inquiry Resolution: Benefit from the seamless Google Gemini integration to get quick responses, with resolution times reduced to under 2 minutes.

We welcome contributions! Please submit pull requests or report issues to help improve the AI Assistant.

You can customize the repository links and any other details as needed.