My Projects

Personal Project
Aug 2026

Upload a PowerPoint or slide deck and turn it into clean, structured, easy-to-review notes.

• Automatically extracts slide content and organizes it into concise, easy-to-scan bullet points
• Lets you edit and update your notes directly in the app
• Download your finished notes as a PDF or DOCX for easy studying and sharing

Directed Research Project
July 2026 – Present

Ongoing directed research applying machine learning and statistical methods to real-world datasets, from literature review through model evaluation.

• Conducting quantitative research by sourcing and evaluating datasets, reviewing academic research papers, and identifying relevant AI/ML methodologies
• Cleaning and analyzing datasets using Python, applying machine learning and statistical techniques to test hypotheses and evaluate model performance

Data Visualization Coursework
Apr 2026

An interactive Flask + Plotly dashboard for exploring global COVID-19 trends drawn from cleaned public health datasets.

• Developed a Flask web app with interactive Plotly visualizations to explore global COVID-19 trends and statistics
• Cleaned and analyzed COVID-19 datasets using Python to identify trends and generate key insights

Databases Coursework
Mar 2026

A relational MySQL database for managing zoo animal and staff records, complete with queries, functions, triggers, and views.

• Designed a relational MySQL database using phpMyAdmin to manage zoo animal and staff data
• Developed SQL queries, functions, triggers, and views to efficiently manage and retrieve database information

Windows Application Programming Coursework
Apr 2025

An Excel/VBA tool that pulls grade data from an Access database and auto-generates dynamic, data-driven reports.

• Developed a Student Marking Application using Excel and VBA, integrating SQL queries from an Access database to streamline data retrieval, grade analysis, and reporting
• Automated report generation by linking Excel and Word through VBA, creating dynamic, data-driven reports featuring charts and key statistics (average, median, standard deviation)

Hackathon Participant, The GoldenHack 6.0
1st Place, Best Community Business Solution
Mar 2025

A full-stack scheduling tool helping urban newcomers and students sync tasks and locate essential services in real time.

• Awarded 1st place for "Best Community Business Solution" for building TransiTask, a full-stack scheduling tool supporting urban newcomers and students with real-time task syncing and service access
• Developed the app using JavaScript, React, Google OAuth, and REST APIs, integrating real-time task management with a locator for essential services like grocery stores, gas stations, and hospitals

Hackathon Participant, Hack Canada
Feb 2025

An AI-powered text classifier that detects AI-generated content using a Random Forest model with NLP-based feature extraction.

• Built an AI text classifier using Python, Flask, and scikit-learn with a Random Forest model to detect AI-generated content, with NLP preprocessing and sentiment-based features via NLTK and spaCy
• Delivered probability scores and auto-generated reports explaining classification results based on tokenization and feature analysis

Hackathon Participant, Amazon Robotics
Feb 2024, Feb 2025

A Python pathfinding algorithm for a 2D robotics simulation, tuned for real-time decision-making and efficient navigation.

• Used Python to develop a pathfinding algorithm for a 2D robotics simulation, implementing real-time decision-making by processing structured sensor data for object detection, pickup, and navigation
• Optimized algorithmic efficiency to reduce move costs and improve score-based ranking by refining movement strategies and implementing obstacle avoidance logic