COCA 16515: Q.Z.L Corp.’s Vocabulary Master for the Gemini 3 Hackathon

Discover COCA 16515, our interactive web and mobile app for mastering 16,515 English words with context-rich, bilingual learning. Try it live and boost your language skills!

January 20, 2026By Q.Z.L Team

COCA 16515: Our Hackathon MVP for the Gemini 3 Hackathon

We’re excited to announce that Q.Z.L Corp. is joining the Gemini 3 Hackathon with our project COCA 16515!
You can also see our preview on Devpost here: https://devpost.com/software/coca-16515.

COCA 16515 Banner

What is COCA 16515?

COCA 16515 is a web and mobile-based vocabulary learning platform built around the 16,515 most frequent English words from the Corpus of Contemporary American English (COCA).
It provides bilingual definitions (English–Chinese), context-rich examples, multiple usages, and pronunciation guides, helping learners study more effectively and track their progress toward mastery.


Demo Video

Watch COCA 16515 in action:


Inspiration

The project was inspired by my own experience preparing for IELTS, required for my Canadian Permanent Resident application. Memorizing random word lists didn’t work, but studying frequency-based, context-rich vocabulary made a huge difference. I wanted to create a tool that could help others learn smarter, track progress, and truly master English words that matter.


What it does

  • Offers 16,515 COCA words with bilingual definitions and examples.
  • Tracks user XP, streaks, and mastery goals.
  • Provides flashcards, quizzes, and a word browser for interactive learning.
  • Allows learners to study daily, revisit difficult words, and monitor progress.

Try it live here: Web App
Android app with ads: Google Play
Android app paid, no ads: Google Play Paid


How we built it

  • Next.js for a fast, responsive web frontend.
  • TailwindCSS for a clean, modern interface.
  • TypeScript for maintainable and scalable code.
  • COCA 16,515 dataset for detailed definitions, examples, and pronunciations.
  • Dynamic learning flow to prioritize user engagement and context-based mastery.

Challenges We Ran Into

  • Structuring a large vocabulary dataset for interactive learning.
  • Designing a dashboard that motivates learners without overwhelming them.
  • Handling bilingual content while keeping the interface clean.
  • Maintaining engagement across thousands of words.

Accomplishments

  • Successfully integrated all 16,515 COCA words with definitions, examples, usage, and pronunciation.
  • Built a bilingual, context-rich learning interface.
  • Created a progress tracking system with XP, streaks, and mastery goals.
  • Turned personal IELTS preparation experience into a scalable learning tool for others.

What We Learned

  • Frequency-based vocabulary like COCA is far more effective than random lists.
  • Context and examples improve retention and understanding.
  • User motivation and habit design are as important as content itself.
  • Large-scale learning apps require balancing data complexity and interface simplicity.

Next Steps for COCA 16515

  • Add adaptive learning algorithms to prioritize challenging words.
  • Implement spaced repetition and smart quizzes for faster mastery.
  • Expand bilingual support beyond Chinese–English.
  • Build mobile support improvements for on-the-go learning.

We can’t wait for everyone to try COCA 16515 and experience how context-rich, frequency-based learning can accelerate English mastery!

Try it now: Web App | Android with ads | Android paid, no ads

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COCA 16515: Q.Z.L Corp.’s Vocabulary Master for the Gemini 3 Hackathon | qz-l