HackStack

Project Info

ZoomersToBoomers

Devpost

Inspiration

Ever hear someone say “67” and have no idea what it means? That was us. We realized slang often creates a communication gap between generations, especially for people like social workers who regularly interact across age groups.

What it does

ZoomersToBoomers bridges generations by decoding slang in real time. Using Snap Spectacles, it listens, identifies slang, and provides clear explanations. It help users understand modern language trends and connect more naturally.

How we built it

We built the prototype using Lens Studio, integrating it with Snap Spectacles to capture real-world conversations and visuals. The recorded speech is then processed through the Groq API, which identifies slang and generates a simple, real-time description displayed right beside the person speaking.

What's next

We plan to: Expand slang recognition to more global languages and cultural contexts. Add interactive flashcards to help users learn slang playfully. Introduce achievement badges for mastering new expressions. Build a community-driven slang library that evolves with real world use.

Analysis

Compare with all teams

View

Metric

Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.

Technology

Found in codeClaimed only
  • GoIn code
  • HTMLIn code
  • JavaScriptIn code
  • TypeScriptIn code

4 of 4 appear in the indexed code.

AI coding agents

No AI coding agent signals were found in this repository.

Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.

Codebase size

Source size

1.4 MB

Source files

124

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

0 stars