GlowLife is an AI-assisted personal-care planning application for busy women, especially professionals working long or irregular shifts. The idea came from observing female shift workers during a technology-industry internship. Their appointments, care routines, product restocking, events, budgets and work schedules were spread across calendars, notes, messages and provider platforms. Standard business hours also made it difficult to find suitable services after work. GlowLife brings these tasks into one connected workflow. Users can enter a complex Traditional Chinese update through AI Quick Capture. The system extracts calendar events, event-preparation tasks, one-time shift exceptions, planned or completed expenses and product status into an editable structured draft. Every proposed item can be reviewed, changed or removed before saving. The application also provides list and calendar views, activity preparation, budget management, shelf tracking and saved shift schedules. Its Explore experience uses public Taipei provider information collected through Bright Data, including districts, ratings, opening hours, phone numbers and external booking links. Users can filter services by current opening status, late-night hours, 24-hour availability and shift compatibility. GlowLife was built primarily with native.builder. Supabase provides persistent data and server-side Edge Functions. AI/ML API powers structured language extraction, while Bright Data supplies public provider information. The Mandarin prototype is publicly deployed and demonstrates a complete, user-controlled workflow.
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