In this video, I'll show you how to create a budget tracking application from scratch using ChatGPT, Google's Gemini, and other tools. By the end, you'll have a functional app and the knowledge to build basic applications using conversational prompting with large language models (LLMs). This video is perfect for those interested in AI application development and looking to learn how to use AI tools like ChatGPT and Gemini for coding.
-----
You will learn how to leverage AI tools like ChatGPT and Google's Gemini to build a budget tracking application from the ground up. This video will walk you through every step, from setting up your initial prompts and defining the application's functionality to debugging, iteratively improving the design, and finally deploying your web application.
First, we start by defining what we want to achieve with our budget tracker app. This involves setting up prompts in ChatGPT and Gemini to generate the necessary JavaScript, HTML, and CSS code. You'll see how to specify your requirements clearly to get the best output from these LLMs.
Next, we delve into creating a structured folder setup and using a text editor to manage our files. You'll learn how to copy and paste the generated code into your project files, implement local storage interaction, and handle any bugs that may arise. This section is crucial for understanding the iterative development process, where you continually improve your app based on the AI's feedback.
As we progress, I'll demonstrate how to deploy your app to the web using services like GitHub Pages and tiny.host. This is an essential step for making your application accessible online and sharing it with others. We also compare the outputs from ChatGPT and Gemini, highlighting the strengths and weaknesses of each tool.
For those interested in front-end design, you'll find the section on v0.dev particularly useful. This platform generates visually appealing UI options based on simple prompts, allowing you to choose and implement a design that suits your needs. I'll show you how to integrate this design into your application and further refine it.
Finally, we cover how to convert your web application into a mobile app using tools like Apache Cordova, Flutter, and web into app. This section includes a step-by-step guide to generating an APK file and installing it on an Android device. This process opens up new possibilities for distributing your app and reaching a broader audience.
Chapters/Timestamps:
0:00 Intro
0:30 What we are going to create
0:46 Using the prompt
1:17 ChatGPT: Initial Output Code
3:08 Application: Initial Version
3:35 Bug Fixing with ChatGPT
4:10 Improving the app visuals
4:52 ChatGPT: Final app
5:20 Deploying the app
6:00 Tinyhost: App goes Live!
6:12 What did Gemini Create?
7:34 Frontend: Best Tool
9:24 Deploying on mobile phone
10:55 Installing APK on mobile
11:05 Outro
Remember to check the comments for all the prompts used in this video!
If you found this video helpful, give it a thumbs up, subscribe for more content like this, and let me know in the comments what you'd like to see next.
#ai #applicationdevelopment #chatgpt #googlegemini #javascripttutorial #html #css #conversationalai #frontenddevelopment #webdevelopment #mobileapp #techtutorial #AIProgramming #CodingWithAI #TechEducation #AIForDevelopers #LLM #techtrends #appdevelopment #aidevelopment #artificialintelligence
27 июн 2024