This project provides a "real-life" Pokedex application, leveraging AI models for data, image, and voice generation. It's designed for Pokemon enthusiasts and developers interested in showcasing AI integrations, offering a functional example of connecting various AI services.

How It Works

The application is built with Next.js, acting as both the frontend and backend. It integrates with multiple AI services: Astra DB for data storage, OpenAI for core AI models, Cloudinary for image generation, and Fakeyou for voice synthesis. Google authentication is also included for user management.

Quick Start & Requirements

• Install: npm run dev (or yarn dev, bun dev)
• Prerequisites: Requires API keys for Astra DB, OpenAI, Cloudinary, and Fakeyou.
• Demo: Preview full demo video (Note: Actual link not provided in README)
• Learn More: Adrian Twarog YouTube Channel (Note: Actual link not provided in README)

Highlighted Details

• Full-stack Next.js architecture.
• Integrates OpenAI, Astra DB, Cloudinary, and Fakeyou.
• Includes Google authentication.
• Intended for learning and showcasing AI model connections.

Maintenance & Community

The project is maintained by Adrian Twarog. Further community or roadmap details are not specified in the README.

Licensing & Compatibility

The project is open for cloning and forking, implying a permissive license, but the specific license type is not stated. Compatibility for commercial use or closed-source linking is not detailed.

Limitations & Caveats

The project creator notes that they are unable to host the project indefinitely due to AI pricing requirements. Users must obtain and configure their own API keys for all integrated AI services, which may incur costs.