This project is a sample application demonstrating the integration of Firebase with AI capabilities.
-
Clone the repository:
git clone https://github.com/akaday/firebase-ai-sample.git cd firebase-ai-sample
-
Install dependencies:
npm install
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Configure Firebase:
- Create a Firebase project in the Firebase Console.
- Copy the Firebase configuration object from the Firebase Console and replace the placeholder values in
firebase-init.js
.
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Run the application:
npm start
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User Authentication:
- Users can sign up and log in using their email and password.
- Firebase Authentication handles user management and authentication.
-
Firestore Database:
- The application uses Firestore to store and retrieve data.
- Example: Storing user profiles and retrieving them for display.
-
AI Integration:
- The application integrates AI capabilities using Firebase ML Kit.
- Example: Image recognition and text translation.
This project is licensed under the MIT License. See the LICENSE file for details.
- Fork the repository and create your branch from
main
. - If you've added code that should be tested, add tests.
- Ensure the test suite passes.
- Make sure your code lints.
- Issue a pull request and wait for it to be reviewed.
- Use the provided issue templates in the
.github/ISSUE_TEMPLATE
directory to report bugs or request features. - Provide a clear and concise description of the issue.
- Include steps to reproduce the issue, if applicable.
- Add any relevant screenshots or logs to help explain the problem.
- Specify the environment in which the issue occurred (e.g., OS, browser, version).
- Be respectful and considerate in all interactions.
- Follow the project's coding standards and guidelines.
- Provide constructive feedback and be open to receiving it.
- Report any unacceptable behavior to the project maintainers.
- Ensure that your contributions are in line with the project's goals and vision.
For information about supported versions and how to report vulnerabilities, please refer to the SECURITY.md file.