Today, I will reveal how to leverage cutting-edge AI technology to build a powerful AI flashcard application from scratch, boosting your learning efficiency.

In this article, I will share my practical experiences without reservation, showcasing the charm of tools like WindSurf, DeepSeek API, and Tldraw, and guide you to create your own personalized smart flashcards!

The project has been open-sourced on GitHub: https://github.com/nicekate/AI-flashcard-deepseek Feel free to Star and Fork, and let’s learn together!

Get a sneak peek: AI flashcards make learning easier

What are the magical features of this AI flashcard application? Let’s get a preview!

• Intelligent Generation: Just input a topic, such as ‘the recipe for braised pork’, and the AI will automatically generate a complete set of study cards, including steps, ingredients, and other key information, supporting various content formats including code.
• Flexible Customization: You can customize the card content according to your learning habits and beautify it using Markdown syntax, making your cards clearer and easier to understand.
• Easy Tagging: With a simple click, you can tag important cards for easy review later.
• Local Storage: Utilizing SQLite database for local storage ensures data security while facilitating data import and export.

From 0 to 1: A Complete Practical Guide

1. Smart Use of Tldraw, Lightning-Fast UI Design (3:47)

https://teach.tldraw.com/

Are you still struggling with tedious UI design?Tldraw is a whiteboard tool that will completely free your hands! It not only has an intuitive and easy-to-use interface but also supports AI-driven interface generation. Just describe your needs in a few simple sentences, and Tldraw can quickly generate stunning interface prototypes!

In this project, I simply described ‘generate a landing page for AI tutorials’ and ‘generate AI flashcards’, and Tldraw quickly produced beautiful interfaces, greatly enhancing my development efficiency.

2. WindSurf Takes the Stage, Starting the AI Programming Journey (5:16)

WindSurf is a powerful AI-assisted programming tool that can automatically generate high-quality code based on your natural language instructions. In this project, WindSurf played a crucial role, helping me quickly build the overall framework of the application and tackle various complex functional logics.

The dialogue process with WindSurf is also very smooth. For example, when I wanted to add a ‘settings’ button, I simply described my needs, and WindSurf quickly responded, implementing the corresponding functionality in the code.

3. Shadcn UI Enhances, Creating a Beautiful Interface (5:48)

Want your application to have a stunning appearance?Shadcn UI is definitely your best choice! It provides a beautiful and easy-to-use React component library, allowing you to easily build professional-level user interfaces.

Thanks to its excellent design, the user experience of Shadcn UI is also very friendly. There’s no need to manually write cumbersome installation commands; using the CLI tool it provides, you can install the required components with one click, greatly enhancing efficiency.

In this project, I quickly built the overall layout of the application using Shadcn UI and utilized its rich component library to achieve various interactive functions.

4. DeepSeek API Empowers, Giving the Application a Smart Brain

DeepSeek V3 API is a powerful semantic understanding API that can accurately understand user natural language input and generate corresponding text content.

In this project, I utilized DeepSeek API to achieve intelligent generation of card content. Whether generating cards based on topics or parsing user-defined content, DeepSeek API can easily handle it.

5. Fine-Tuning, Iterating Functions (6:33)

With the strong support of WindSurf, DeepSeek API, and Shadcn UI, the prototype of the application has been born. Next comes the process of continuous iteration and functionality enhancement.

• Add Home Button: To enhance user experience, I quickly implemented the home button functionality with simple commands to WindSurf.
• Implement Card Tagging and Review: Using WindSurf and SQLite database, I easily implemented card tagging and review functionality, adding a ‘Learned’ button to help users manage their learning progress.
• Support Custom Content: To meet user personalization needs, I added a custom content input box, allowing users to create exclusive study cards based on their requirements.
• Optimize Card Display: To enhance the readability of cards, I introduced Markdown rendering and code block highlighting techniques, making card content clearer and more beautiful.

6. Efficient Communication Techniques with WindSurf (9:09)

During my communication with WindSurf, I also summarized some practical tips:

• Clear Expression: Describe your needs as clearly and accurately as possible, avoiding vague language.
• Step-by-Step: Break down complex requirements into smaller steps, gradually guiding WindSurf to complete tasks.
• Timely Feedback: Check the code generated by WindSurf promptly and make adjustments as needed.
• Use F12 for Debugging: When encountering issues, you can use the F12 developer tools to view network requests and responses, helping WindSurf locate problems.

7. Open Source Sharing, Progress Together (3:41)

This AI flashcard application has been open-sourced on GitHub: https://github.com/nicekate/AI-flashcard-deepseek

I hope to learn and communicate with everyone through open source, improving this application together. Feel free to Star and Fork.

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In the past, I have created over 260 original AI-themed articles, and I am confident in continuing to write, as this is my hobby and I truly love it.

If you enjoy my articles and videos, feel free to join my knowledge community, where I will share the latest AI news, source code, and answer your questions. See you next time!

For historical articles, please check here:

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