14d7c30d3d
- Backend: .NET 10 Minimal API + EF Core + PostgreSQL - Frontend: Flutter + Riverpod + GoRouter + Dio - AI: DeepSeek LLM + Qwen VLM (OpenAI-compatible) - Auth: SMS + JWT (access/refresh tokens) - Features: AI chat, health tracking, medication management, diet analysis, exercise plans, doctor consultations, report analysis
38 lines
460 B
Plaintext
38 lines
460 B
Plaintext
# Secrets
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.env
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*.pem
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*.key
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*.pfx
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# .NET build outputs
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backend/**/bin/
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backend/**/obj/
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# Flutter build outputs
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health_app/build/
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health_app/.dart_tool/
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health_app/.flutter-plugins*
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health_app/.packages
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# Android
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health_app/android/.gradle/
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health_app/android/app/build/
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health_app/android/local.properties
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# iOS
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health_app/ios/Pods/
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health_app/ios/.symlinks/
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# IDE
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.idea/
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*.suo
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*.user
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*.userosscache
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*.sln.docstates
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.vs/
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.vscode/
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# OS
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.DS_Store
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Thumbs.db
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