GenAIGemini

GenAi Gemini

GenAi Gemini is an AI-powered application that leverages the Gemini API to generate responses based on user input. This project demonstrates how to integrate generative AI into a Next.js application to provide dynamic responses.

Features

• Generative AI Responses: Uses Google's Gemini API to generate intelligent responses.
• Responsive Design: Built with Next.js, ensuring fast and optimized performance across devices.
• Interactive Interface: Users can interact with the AI model by entering text and receiving context-aware answers.

Deployment

This project is deployed on Vercel. You can view the live application at GenAIGemini.

Installation

To run this project locally, follow the steps below:

1. Clone the Repository

Clone the repository to your local machine:

git clone https://github.com/AaronKurian/GenAIGemini.git
cd GenAIGemini

2. Install Dependencies

Run the following command to install all required dependencies:

npm install

3. Set Up Environment Variables

Make sure you have the necessary environment variables set up for the Gemini API. Create a .env file in the root directory and add the following:

NEXT_PUBLIC_GEMINI_API_KEY=your-gemini-api-key

4. Run the Project Locally

To start the development server:

npm run dev

Your app will be running at http://localhost:3000.

Deploy

To deploy to Vercel, simply link your GitHub repository to Vercel and follow the deployment instructions.

How it Works

• User Input: The user enters a query or prompt.
• AI Interaction: The prompt is sent to the Gemini API.
• Response Generation: The Gemini model processes the input and generates a response.
• Display Output: The generated response is displayed on the user interface.

Contributing

Feel free to fork the repository, create an issue, or submit a pull request to contribute to the project. Contributions are always welcome!

License

This project is open-source and available under the MIT License.

Made With ❤️ by Aaron Kurian Abraham