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How to Build AI-Powered Mobile Apps Using Expo + LLM APIs in 2025

4/8/2025
Mehebub Alam
196
How to Build AI-Powered Mobile Apps Using Expo + LLM APIs in 2025

AI is no longer the future—it’s now embedded in our pockets. With the rise of Large Language Models (LLMs) like OpenAI’s GPT, Claude, and Gemini, building AI-powered mobile apps is more accessible than ever. Combine that with the power of Expo (React Native) and you’ve got a toolkit to create powerful, cross-platform apps effortlessly.

🔧 What You Need

  • Node.js & Expo CLI installed
  • LLM API key (OpenAI, Claude, etc.)
  • Basic knowledge of JavaScript/React Native

⚙️ Step 1: Create a New Expo Project

expo init AIChatApp
cd AIChatApp
expo start

📦 Step 2: Install Required Packages

npm install axios react-native-paper

🧠 Step 3: Setup LLM API Integration

// services/aiService.js
import axios from 'axios';
const apiKey = "YOUR_OPENAI_API_KEY";

export const askAI = async (userInput) => {
  const res = await axios.post("https://api.openai.com/v1/chat/completions", {
    model: "gpt-3.5-turbo",
    messages: [{ role: "user", content: userInput }]
  }, {
    headers: {
      Authorization: `Bearer ${apiKey}`,
      "Content-Type": "application/json"
    }
  });
  return res.data.choices[0].message.content;
};

💬 Step 4: Create the Chat UI

// App.js
import React, { useState } from "react";
import { View, TextInput, Button, Text } from "react-native";
import { askAI } from "./services/aiService";

export default function App() {
  const [input, setInput] = useState("");
  const [response, setResponse] = useState("");

  const handleSubmit = async () => {
    const res = await askAI(input);
    setResponse(res);
  };

  return (
    <View>
      <TextInput value={input} onChangeText={setInput} />
      <Button title="Send to AI" onPress={handleSubmit} />
      <Text>{response}</Text>
    </View>
  );
}

🔒 Secure Your API Key

Use .env with libraries like react-native-dotenv or proxy it through your backend to hide it from clients.

🌐 Popular LLM APIs

📊 Use Case Ideas

  • AI chat assistants
  • AI-based productivity tools
  • Voice-to-text or language translation apps
  • Education & learning bots

✅ Conclusion

Building AI-powered mobile apps with Expo and LLM APIs is now easier than ever. With a few lines of code and an API key, you can build smart, intelligent apps that respond like humans. Time to create the next big thing!

Mehebub Alam

Mehebub Alam

Author

196

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