Hi all! My submission for Gammapify:
🧐 Variance — Writing Style Fingerprint Analysis 🔍 + Gamma 
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The Problem: Academic integrity software flags low-variance writing, costing writers thousands in rewrites, appeals, and tuition. My own work cost me $12,000 because my academic writing style triggers false positives.
What I Built: Variance analyzes any text in a minute, pinpointing exactly where writing patterns become too uniform, and what makes the voice unique. Writers get multiple stochastic metrics (including sentence uniformity, burstiness, hedge words, formulaic patterns) + a professional Gamma presentation showing their unique stylistic fingerprint.
How It Works:
NLTK + textstat compute linguistic metrics
Claude analyzes variance patterns + generates voice profile
Gamma Generate API transforms the analysis into a stunning deck
Uses textMode: "generate" to let Gamma structure the content
Reroll! Theme rotation system prevents repetitive presentations
Custom image styling
The Stack: FastAPI + NLTK + textstat + Claude Sonnet 4.5 + Gamma API Impact:
Turns specialty linguistic consulting (or opaque AI detector scrying) into instant, free, understandable metrics
Writers understand variance patterns BEFORE getting flagged
One-click from raw fingerprint to shareable professional presentation
🔗 Live Demo: https://voice-fingerprint-gamma.onrender.com/ 📊 Sample Gamma Deck: https://gamma.app/docs/Variance-Pragmatic-Technical-Precision-xnar48ywhopmbcj 💻 GitHub: https://github.com/galeep/voice-fingerprint-gamma 🔜
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