How to create an App using Chatgpt?

How To Create An App Using ChatGPT?

Imagine if you could create a real Android app without any coding whatsoever.

Welcome to the future of app building — AI does the heavy lifting, and you copy, paste, and deploy.

In this tutorial, we’ll walk you through how to create an Android app that fetches real-time stock market data for 50 popular companies using only ChatGPT’s instructions and code. No programming experience before that? No problem. We’ll count on ChatGPT to produce all the lines of code and lead all the steps for us, from installing Android Studio to calling real APIs and displaying data beautifully.

Whether you’re a curious beginner, a non-coder dabbling in AI-assisted development, or a techie pushing the limits of generative AI, you’ll see in this hands-on experiment just how powerful and practical ChatGPT has become as a tool for app creation.

Let’s put it to the test.

Steps To Create An App Using ChatGPT

Now that we’ve set the stage, let’s dive into the actual development process. Below is a clear, copy-paste-friendly walkthrough of how you can build your stock market app — using nothing but ChatGPT and Android Studio.

Step 1: Ask ChatGPT to Generate the App

Use this prompt:

“I want to build a simple Android app that shows real-time stock prices for 50 popular shares using the Yahoo Finance API. Please guide me step-by-step and provide copy-paste-ready code for Android Studio.”

 Step 2: Set Up Android Studio

Follow ChatGPT’s instructions to:

  • Download and install Android Studio.
  • Create a New Android Project using “Empty Activity”.
  • Name your project (e.g., StockTrackerApp).
  • Choose Kotlin or Java (ChatGPT can work with both — Java was used in our example).

Wait for the Gradle build to complete.

Step 3: Get a Yahoo Finance API Key

  1. Go to RapidAPI Yahoo Finance
  2. Sign up and subscribe to the free tier.
  3. Copy your X-RapidAPI-Key — you’ll need it soon.

Step 4: Add API Dependencies

Sync your project.

Step 5: Define the API Interface

Create a new Java file called YahooFinanceAPI.java and paste this code:

Replace “YOUR_API_KEY_HERE” with your actual key.

Step 6: Create the Main Activity with Error Handling

Now create your MainActivity.java:

Step 7: Create the Model & Adapter

Ask ChatGPT:

“Can you generate the Stock, StockResponse, and StockAdapter classes for a RecyclerView in Android using Java?”

Copy the generated classes into your app:

  • Stock.java – contains symbol, price, and company name
  • StockResponse.java – handles the API response
  • StockAdapter.java – displays each stock item in the list

 Step 8: Run the App

  • Click Run in Android Studio
  • Use an emulator or a physical device
  • Your app should now display a scrollable list of stock names and prices!

Debugging? Ask ChatGPT

If the app crashes or data isn’t showing:

  • Ask ChatGPT something like:


    “I’m getting a null pointer error when fetching stock data. Can you help me fix it?”

    ChatGPT will review and offer line-by-line fixes.

Conclusion

And there you have it — a fully functional, real-time stock tracking Android app built without writing a single line of code yourself. This project not only showcases how powerful ChatGPT has become as a coding assistant but also proves that with the right prompts and tools, anyone can turn their app ideas into reality — no technical background required. Whether you're a hobbyist, entrepreneur, or curious learner, this hands-on experience is just the beginning of what AI-powered development can help you create. The future of app building is here — intuitive, accessible, and powered by AI.
Ashish Khurana

Ashish Khurana (AI/ML Expert)

Ashish Khurana is an experienced AI/ML professional who enjoys building intelligent systems to solve real-world problems. He is an expert in machine learning, data modeling, and automation, and has decades of experience guiding sophisticated projects that enable faster and smarter choices by customers in the industry. With deep expertise in machine learning, data modeling, and automation, he has successfully led numerous high-impact projects that enable businesses to make data-driven and efficient decisions. Ashish specializes in helping individuals understand difficult AI concepts, specifically in the various domains realted to AI/ML.
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