Pic2Plate AI: An Open-Source Project to Explore Gemini Pro Vision with Flutter

Pic2Plate AI is an open-source Flutter project designed to showcase the capabilities of Google's Gemini Pro Vision model. This project allows users to take a picture of their ingredients and receive recipe suggestions based on the identified items.

This project serves as a valuable learning resource for developers interested in:

• Gemini Pro Vision: This powerful model from Google AI can analyze images and generate creative text formats, like poems, code, scripts, musical pieces, email, letters, etc.
• Flutter: This popular cross-platform framework allows you to build beautiful and performant mobile apps with a single codebase.
• Flutter state management: This code base could help you learn how to manage state in a Flutter app using bloc package and a clean code architecture.

Project Highlights:

• Image recognition: Users can upload or take a picture of their ingredients.
• Recipe generation: Gemini Pro Vision analyzes the image and generates recipe suggestions in markdown format.
• Customization: Users can specify the number of people they are cooking for, maximum cooking time, and any dietary restrictions.
• Secure API key management: The project demonstrates how to use the flutter_dotenv package to securely store and access your Gemini API key.

Getting Started:

1. Clone the repository:  git clone https://github.com/your-username/pic_2_plate_ai.git  `

2. Install Flutter: Follow the instructions on the official Flutter website: https://flutter.dev/docs/get-started/install

3. Set up your Gemini API key:

   • Create a .env file in the project's root directory.
   • Add the following line to the .env file, replacing YOUR_API_KEY with your actual Gemini API key: PALM_API_KEY=YOUR_API_KEY

4. Install dependencies: Run the following command in the project directory: flutter pub get

5. Run the app: Run the following command to launch the app on your connected device or emulator: flutter run

Learn More:

For a detailed explanation of the project's functionality and implementation, please refer to the accompanying Medium post

This project provides a starting point for exploring the exciting possibilities of Gemini Pro Vision and Flutter. Feel free to experiment, customize, and contribute to the project!