AI-powered symptom tracker built in 72-hour sprint
A 17-year-old developer from Türkiye shares the source code for an AI-powered symptom tracker built in a 72-hour solo sprint. The project focuses on a service-based architecture using Flutter, SQLite for offline functionality, and AI tools for logic generation. The user seeks feedback on Provider/GoRouter implementation, Supabase anonymization, and background service efficiency.
Database
Integrations
Storage
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