FastMind is a fasting tracker I built with product-grade logic — not a basic stopwatch. The app treats fasting as a structured workflow with multiple states (e.g., started, active, paused, ended), and persists time correctly across sessions. Users can log notes and mood states during a fast, creating a dataset that the AI layer can summarize into useful insights and patterns over time.
What makes this non-trivial
Reliable fasting time calculations + persistence (not just UI)
State-driven flow handling edge cases (pause/resume/end scenarios)
Notes + mood tracking tied to the fasting lifecycle
AI-generated summaries and insights based on user entries
Clean UX built on top of complex underlying logic
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