Live Stream: Developing with React Native, RTK-Query, WordPress and Car AI

### Programming Live Stream: React Native, RTK-Query, WordPress, and AI in the Automotive Industry
#### Live Stream Description
In this live stream, we will explore the integration of React Native with RTK-Query for efficient state management and API calls, using WordPress as a backend, and applying Artificial Intelligence (AI) in the automotive industry. We will build a project from scratch, covering everything from initial setup to advanced functionality implementation, including how AI can be leveraged in automotive solutions.
#### Agenda
1. *Introduction*
- Welcome and overview of the topics to be covered.
- Introduction to the basics of React Native, RTK-Query, and WordPress REST API.
- Brief overview of AI applications in the automotive industry.
2. *Project Setup*
- Setting up the development environment for React Native.
- Installing and configuring RTK-Query.
- Setting up and using WordPress as a backend.
3. *Implementation of Basic Features*
- Creating a basic application in React Native.
- Integrating RTK-Query for API call management.
- Configuring WordPress to provide data via REST API.
- Examples of API calls using RTK-Query and WordPress.
4. *Adding Artificial Intelligence*
- Introduction to AI libraries that can be used with React Native.
- Examples of AI applications in the automotive industry, such as computer vision systems for object detection and pattern recognition.
5. *Development of Advanced Features in the Automotive Industry*
- Integrating an AI API for functionalities like predictive diagnostics, predictive maintenance, and driver assistance.
- Using RTK-Query to manage data from the AI API.
- Example of integrating AI with data provided by the WordPress backend.
6. *Testing and Debugging*
- Strategies for testing the application.
- Debugging tools for React Native, RTK-Query, and WordPress APIs.
- Specific tests to ensure the accuracy and effectiveness of AI functionalities.
7. *Questions and Answers*
- Q&A session to address viewers' questions.
- Discussion of common challenges and best practices in implementing AI in the automotive industry.
8. *Conclusion*
- Recap of what was learned.
- Next steps and additional resources for continued learning.
#### Tools and Resources
- *React Native*: Framework for mobile application development.
- *RTK-Query*: Efficient state management and API call tool, part of the Redux Toolkit.
- *WordPress*: Used as a backend to provide data via REST API.
- *AI Libraries*: TensorFlow.js, PyTorch Mobile, or other relevant libraries for computer vision and machine learning.
- *Automotive APIs*: Specific APIs that provide data and services for the automotive industry.
#### Demonstrations
During the live stream, we will provide practical demonstrations of:
- Setting up a React Native project and integrating RTK-Query.
- Making efficient API calls to fetch and send data via WordPress REST API.
- Applying AI models for automotive tasks such as object detection and predictive diagnostics.
- Debugging and testing to ensure everything works as expected.
#### Audience Participation
Viewers will be encouraged to actively participate by sending questions and comments throughout the live stream. We will allocate time to address the most frequent questions and discuss challenges developers may encounter when working with these technologies.
#### Conclusion
We will wrap up the live stream with a summary of the main points covered and provide additional resources for those who wish to deepen their knowledge in React Native, RTK-Query, WordPress, and AI in the automotive industry.