MOODIFY

Driven by UN Sustainable Development Goal 3 (Good Health and Well-being), I wanted to build a tool that makes mental health reflection effortless. The result is MOODIFY, a minimalist web application designed to turn daily emotional check-ins into meaningful data. To push my engineering skills, I strictly followed clean code and modular design principles, keeping the logic completely separated from the UI. The core of the app uses a simple mathematical approach, tracking daily mood indices $M_i$ to calculate a running weekly average well-being score $\bar{M}$ ($\bar{M} = \frac{1}{n} \sum_{i=1}^{n} M_i$). If a user's emotional trend dips below a stable threshold, the system automatically suggests localized wellness tips. By leaning into the hackathon's unique constraint of omitting a traditional README.md, I allowed the code structure to speak for itself, relying entirely on the PresentMeApp to analyze the repository and automatically generate professional documentation. Ultimately, MOODIFY proves that clean, efficient software can bridge the gap between technical precision and human wellness.