Integrating AI into Your Mobile App

This tutorial explains how to build a smart mobile app by integrating AI capabilities. We'll use React Native for the frontend and Python (Flask) for the backend, ideal for chatbots, smart assistants, or intelligent automation.

🧠 Why Add AI to Your App?

• Make your app interactive with AI chatbots
• Automate recommendations and user flows
• Offer intelligent error handling and feedback
• Analyze user behavior with data-driven insights

📱 Step 1: Build the React Native App

Start by creating a simple UI in React Native with an input field and send button. Use Axios to make HTTP requests.

import axios from 'axios';
const sendPrompt = async () => {
  const res = await axios.post('http://localhost:5000/ask', { prompt });
  setResponse(res.data.answer);
};

⚙️ Step 2: Set Up the Python Flask Backend

Create a simple Flask API that accepts prompts and returns AI-generated responses.

from flask import Flask, request, jsonify
import openai

app = Flask(__name__)

@app.route('/ask', methods=['POST'])
def ask():
    prompt = request.json.get('prompt')
    response = openai.Completion.create(
        model='gpt-3.5-turbo',
        prompt=prompt,
        max_tokens=100
    )
    return jsonify({'answer': response.choices[0].text.strip()})

🌐 Connect the Frontend and Backend

Ensure your mobile app can communicate with your backend server. Use ngrok for testing or deploy your backend to a cloud host.

Download project template