How to Integrate AI into a React Native App

This title was summarized by AI from the post below.

🚀 Integrating AI into a React Native App — The Basics Artificial Intelligence isn’t just for massive tech companies anymore. With the right tools, even small mobile apps can deliver smarter, more personalized experiences — and React Native makes this surprisingly accessible. 💡 Where to Start You don’t have to build a full model from scratch. Many developers start with: • AI APIs like OpenAI or Hugging Face for natural language or image generation • TensorFlow.js for on-device predictions (great for fitness, health, or image recognition apps) • Recommendation logic based on user behavior (e.g., suggesting workouts, meals, or content) ⚙️ Server-Side or Client-Side? Typically, AI processing happens on the server — this keeps your app lightweight and secure. The app sends data (like a prompt or user metrics) to your backend, which calls an AI model and returns a response. For smaller models, though, you can run predictions directly on-device for faster, offline results. 🌍 Why It Matters Integrating AI gives your app a level of adaptability and personalization that users now expect. It’s not about replacing creativity — it’s about enhancing experiences through smarter interactions.

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