tubesight-sdk
v1.0.2
Published
The Tubesight SDK is a Node.js library designed to simplify the integration of personalized video recommendations and channel suggestions into your applications. It leverages TensorFlow for backend processing and integrates seamlessly with the YouTube Dat
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Tubesight SDK
The Tubesight SDK is a Node.js library designed to simplify the integration of personalized video recommendations and channel suggestions into your applications. It leverages TensorFlow for backend processing and integrates seamlessly with the YouTube Data API to provide tailored content suggestions based on user preferences and search queries.
Installation
To install the Tubesight SDK, simply run:
npm install tubesight-sdk
## Usage
```javascript
const Tubesight = require("tubesight-sdk");
// Initialize Tubesight SDK with your YouTube API key
const tubesight = new Tubesight({
apiKey: "YOUR_YOUTUBE_API_KEY",
});
// Example: Get personalized video recommendations for a user
const recommendations = await tubesight.getRecommendations(userId);
console.log(recommendations);
```
## Features
- **Personalized Recommendations:** Utilize advanced algorithms to provide personalized video recommendations for each user.
- **Channel Suggestions:** Recommend relevant YouTube channels based on user preferences and search history.
- **YouTube Profile Integration:** Allow users to log in to their YouTube accounts and subscribe to recommended channels directly from your application.
## Documentation
For detailed documentation and examples, please refer to the [Tubesight SDK Documentation](https://github.com/your-username/tubesight-sdk/wiki).
## Contributing
We welcome contributions from the community! If you'd like to contribute to the Tubesight SDK, please follow our [Contribution Guidelines](CONTRIBUTING.md).
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
```
Replace placeholders like `YOUR_YOUTUBE_API_KEY`, `your-username`, and `your-email` with actual values and information relevant to your project. Additionally, you may want to provide more detailed usage instructions and examples specific to your SDK's functionalities.
```