Learn AI Integration with JSON Data and Use Flask API | Python Gemini API Key

In this tutorial, you'll learn how to integrate AI with JSON data using Python and Flask. We’ll explore the step-by-step process of setting up a Flask API that interacts with the powerful Gemini AI model using Google’s generative AI API. You'll discover how to:

Configure the Gemini API key securely.
Handle and analyze JSON data efficiently.
Build robust endpoints for GET and POST requests.
Generate intelligent, context-aware responses using AI.
Apply best practices for API development with Python and Flask.
Whether you're a beginner or an experienced developer, this video provides valuable insights into using AI for data-driven applications. By the end of this session, you'll have a functional Flask API ready for real-world use cases and a solid understanding of AI-powered JSON data processing.

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Chapters:
00:00 - Introduction
01:30 - Setting Up the Environment
04:15 - Configuring the Gemini API Key
07:50 - Working with JSON Data
12:00 - Building the Flask API
20:45 - Generating AI Responses with Gemini Model
28:00 - Best Practices and Tips
32:00 - Conclusion

#Python #Flask #AIIntegration #JSON #GeminiAPI #BackendDevelopment

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