data-handling-and-visualization

Explore the evolving world of PyQt6 through 'PyQt6-DataWizard,' a step-by-step guide featuring progressive examples from basic data handling to advanced machine learning integration. Perfect for learners and professionals seeking practical PyQt6 applications.

This project explores the use of machine learning for fungi classification, developed for the Brisbane Flora and Fauna Society. It combines a DINOv2 Vision Transformer for feature extraction with a custom linear classifier, leveraging transfer learning to classify edible and poisonous fungi species from images.

"Real-time fraud detection with LightGBM, SHAP explainability & Streamlit dashboard"

React + Tailwind CSS: A flight search UI that lets users enter routes and dates to view results with filtering, sorting, and price trends, built to showcase complex client-side data handling and state management.