# Sabique Islam
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## About Me
I build web apps, and occasionally tinker with machine learning and low-level programming.
## Projects
### NeuroGuard
ML web app to predict stroke risk with 78.8% accuracy and 76.9% recall using SMOTE-enhanced Logistic Regression. Built with Flask API, Gemini 2.0, and a Vite-powered React frontend.
### Activity Recommender CLI
C-based CLI tool that suggests group activities using 300D GloVe embeddings and cosine similarity. Features NLP pipeline and a minimal Next.js frontend wired to a C REST API via microhttpd and cJSON.
### GitHub PR Summarizer
GitHub Action that generates context-aware PR summaries using Gemini 2.5 Flash. Parses diffs, titles, and file changes. Includes YML workflows and secure setup with GitHub Secrets.
### Pixiefie
Generates branded, shareable ID cards from GitHub and Reddit handles. Fetches profile pic, name, and username; embeds live QR code.