sabique@portfolio:~$

# Sabique Islam

## |

Resume
sabique@portfolio:~$ cat about.txt

## About Me

I build web apps, and occasionally tinker with machine learning and low-level programming.

sabique@portfolio:~$ ls -la ./projects/

## 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.

Languages: Python, Flask, scikit-learn, React, Gemini 2.0, Vite

### 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.

Languages: C, GloVe, NLP, Cosine Similarity, microhttpd, Next.js

### 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.

Languages: GitHub Actions, Python, YML, Gemini, CI/CD

### Pixiefie

Generates branded, shareable ID cards from GitHub and Reddit handles. Fetches profile pic, name, and username; embeds live QR code.

Languages: Next.js, Tailwind CSS, Vercel, QR Code, GitHub, Reddit
sabique@portfolio:~$ cat skills.json

## Skills

Languages:

Python
JavaScript
TypeScript
C
C++

Frameworks:

React.js
Next.js
Flask

Tools:

Git
Docker
Jupyter
Streamlit

Platforms:

GitHub
Google Colab