manc

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Prompt Engineering

Overview

This project demonstrates effective prompt engineering using advanced AI models, specifically focusing on guiding users through the application process and first-year experience at the Maritime Academy of Nigeria, Oron, Maritime Education and career. It includes a simple web interface and an Express server to handle AI interactions securely.

Features

• Interactive Chat Interface: A user-friendly web interface for real-time interaction with the AI chatbot.
• Advanced Prompt Engineering: Examples of well-crafted prompts to guide the AI in generating detailed and relevant responses.
• Seamless Integration: Utilizes the Google Generative AI SDK for robust and scalable AI interactions.
• Server-Side Processing: Ensures API key security by handling requests on the server side.

Technologies Used

• Frontend: HTML, CSS, JavaScript
• Backend: Node.js, Express
• AI Integration: Google Generative AI SDK

Getting Started

1. Clone the repository:

   git clone https://github.com/clementnduonyi/manc.git
   cd manc

2. Install dependencies:

   npm install

3. Set up environment variables:

   • Create a .env file in the root directory.
   • Add your Google Generative AI API key:

     GEMINI_API_KEY=your_api_key_here
     

4. Start the server:

   npm start

5. Open your browser:

   • Navigate to http://localhost:3000 to interact with the chatbot.

Usage

• Type your message into the input box and click "Send" to interact with the AI chatbot.
• Observe how the AI responds to different prompts and refine them to improve responses.

Contributing

• Fork the repository.
• Create a new branch (git checkout -b feature/your-feature).
• Commit your changes (git commit -m 'Add some feature').
• Push to the branch (git push origin feature/your-feature).
• Open a pull request.

License

This project is licensed under the MIT License.

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