Features I Built
Feature | Description | Technologies Used |
---|---|---|
ML Topic Predictor | Built a machine learning model to predict whether a phrase is biology, chemistry, or physics | Python, scikit-learn, Flask |
Redesigned Pages | Redesigned “Accounts” and “Workflows” pages for clarity and user-friendliness | HTML, CSS, Markdown |
VSCode Web Guide | Created a tutorial page for deploying VSCode in-browser without installing anything | Markdown, Screenshots, GitHub Pages |
Quiz Game | Made a quiz game to make learning more competitive | JS, Flask, API |
Leaderboard System | Leaderboard that tracks user scores using a related table between users and quiz points | Flask, SQLAlchemy, JS |
This trimester, I focused on building projects that not only work technically but also connect with users—whether that meant redesigning pages for better clarity or creating a quiz game that made learning fun. I’m especially proud of how I combined my interests in science and coding through the ML Topic Predictor, and how I pushed myself to debug and polish each feature for real classroom use.