Ignite Your GCP Cloud Architect Prep with AI-Powered Q&A!

Harness the power of Gemini Pro for content generation.

Overview

This project leverages the power of Gemini Pro to generate realistic and challenging practice questions for the GCP Cloud Architect exam. By mimicking the actual exam format with multiple-choice answers, it provides an engaging and game-like experience that helps candidates solidify their knowledge and boost their confidence.

Features

• Content Generation power by Gemini Pro for enhanced accuracy.

Target Audience

Developers who want to:

• Integrate Gemini Pro's capabilities into their applications.
• Build creative content generation features applied to Cloud Computing.

Project Structure

• src/app/action: This folder holds all the server actions, including the getNextQuestion function.
• src/api/generative-ai: This folder defines the API route for connecting with the Google generative AI SDK, validating the response, formatting it, and storing it in a Vercel/PostgreSQL database.
• src/app/lib/database: This folder defines all the functions to communicate with the database.
• src/app/lib/utils: This folder manages all text formatting functions used in the application.

This structure allows you to separate concerns and maintain a clean and modular codebase. It also makes it easier to scale the application as it grows. If you have any specific questions or need further guidance, feel free to ask.

Getting Started

1. Clone the repository.
2. Install dependencies: npm install
3. Set environment variables: MODEL_NAME and API_KEY.
4. Run the application: npm run start

Explore Further

• Gemini Docs: [https://cloud.google.com/vertex-ai/docs/generative-ai/model-reference/gemini]

Contributing

We welcome contributions! Please see the Contributing Guidelines: [Link to contributing guidelines] for more information.

Let's unleash the potential of Gemini Pro together!