Data preprocessing and model evaluation project for my AI diploma course. Involved cleaning and analyzing behavioral attributes (sleep, productivity, commute, BMI) to predict weekly online duration using classification algorithms (kNN, Decision Tree, Naïve Bayes). Compared model metrics, analyzed confusion matrices, and reflected on LLM-assisted workflow and AI ethics.
Personal portfolio showcasing who I am and what I’ve been doing. Built to highlight my work, projects, and ongoing learning journey.
Developed a data-scraping tool to gather well information with 1000+ webpages. Focused on error-free, structured, and efficient extraction of water sources data.
Built an interactive map that visualizes the latest earthquakes using data from the USGS API. Implemented data fetching, filtering, and styling features with Folium to highlight the most recent seismic event (refreshes every 00:00 PH time).
Built a text-to-Morse and Morse-to-text converter with a simple UI. Designed to explore encoding logic and string manipulation.
Created a lightweight app that embeds custom watermarks into images while preserving quality. Focused on GUI development, image processing, as well as file handling.
Built a customizable 3×3 to 4×4 Tic Tac Toe app using Tkinter, applying event-driven programming, dynamic grid generation, and win-condition logic with state tracking for two-player interaction.
Implemented a time-management app using the Pomodoro technique to boost productivity. Applied knowledge of Tkinter's canvas and grid-based UI updates with labels, buttons, and image assets.
Work in Progress...
Work in Progress...
Work in Progress...
Work in Progress...
Work in Progress...