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Visual Cue Tracker: Mapping My Values, One Week at a Time

GitHub “Finish-Up-A-Thon” Challenge Submission

This is a submission for the GitHub Finish-Up-A-Thon Challenge

What I Built

I built the Visual Cue Tracker, a tiny, personal sanctuary for reflection. It’s a tool designed to help us map our daily actions against our core values, specifically Empathy, Growth, and Balance.

I started this project because I found myself moving so fast in my software engineering studies and internships that I often forgot why I was doing what I was doing. This tracker lets me see my week at a glance, reflect on my progress, and hold space for the things that truly matter to me.

Demo

Deployed site:

github repo: https://github.com/HopeBestWorld/VisualCueTracker/tree/main

demo: https://youtu.be/EqVfj289e-Q

The Comeback Story

When I first started this project, it was just a repo with no pushed code. In 2025, I simply set up the repo and put in a description, but never put the time or effort into bringing the idea to life. To finish it up for the challenge, I added a few things that made it feel truly alive.

I built a custom, zero-key AI engine that runs entirely inside your browser. It scans your weekly reflections and gives you immediate, gentle feedback on how well your written thoughts match the values you logged.

It suggests! If I’m missing the mark, it gives me specific prompts to help me get back to my goals.

I added quick-export features so I can turn my weekly reflections into a clean text log, making it easy to keep a personal journal outside of the app.

I set up a fully automated deployment pipeline using GitHub Actions, so my site updates instantly whenever I push my code.

My Experience with GitHub Copilot

GitHub Copilot felt like a supportive coding partner throughout this journey. When I was stuck on complex pathing issues for my GitHub Pages deployment, it helped me iterate through solutions quickly. It was especially great at explaining why certain parts of my code (like my custom Regex AI engine) were behaving the way they were, allowing me to stay in a flow state without needing to constantly stop and search for syntax.

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