Gen-Z Study Slay

Inspiration

Academic textbooks and research papers are often "mid"—they are dry, long, and hard to stay focused on. I wanted to create a tool that gives students "main character energy" by translating boring text into something actually fun to read.

What it does

Gen-Z Study Slay takes any complex academic paragraph and uses Gemini 3 Flash to generate a "Slay-Mary." It breaks down the core concepts into 3 iconic bullet points filled with Gen-Z slang and emojis, making the information stick without the boredom.

How we built it

I built the core logic using Python and the Google Generative AI SDK. The magic happens through specific prompt engineering that instructs Gemini 3 Flash to act as a relatable tutor who speaks fluent Gen-Z.

Challenges we ran into

The biggest challenge was balancing the "slang" with "accuracy." I had to refine the prompt multiple times to make sure the AI didn't lose the actual scientific or historical facts while trying to be funny.

Accomplishments that we're proud of

I am proud of successfully integrating the Gemini 3 Flash API to perform high-speed text transformations. As a solo builder, taking a project from a blank VS Code script to a fully functional AI tool that actually sounds like a Gen-Z influencer was a huge win for me!

What we learned

During this hackathon, I learned how to use prompt engineering to control the 'personality' of an AI model. I also gained experience in managing API keys securely and using GitHub to host and share my code for the first time.

What's next for Gen-Z Study Slay

I want to add a feature where it can summarize entire PDFs and maybe even generate "Study Slay" flashcards!

Built With

• gemini-api
• generative-ai
• python