LocalFoodAI_lanfr144/AI_History/task.md

Local Food AI - Task Breakdown

• Update PROJECT_CONTEXT.md to merge original architecture with new features
• Detailing the Sprints in Planning Mode
• Await user approval on Implementation Plan
• Integrate Project and Backlog into Taiga
• Execute Sprint 1: Foundation & Authentication
  • Initialize Git Repo at git.btshub.lu and push .gitignore
  • Add evegi144 as project collaborator
  • Finalize deploy.sh and Docker setup
  • Complete init.sql for MySQL Users table
  • Build basic Streamlit Login App
• Execute Sprint 2: Core Nutritional Database
  • Import food CSV via Pandas
  • Implement search views in Streamlit
• Execute Sprint 3: Food Combinations
  • Build math aggregation logic
  • Link combos to MySQL profiles
• Execute Sprint 4: AI & Chat
  • Pull and test quantized Ollama models
  • Build Streamlit chat UI
• Execute Sprint 5: AI Menu Proposals & Web Search
  • Write RAG integration
  • Configure local proxy web search tool
• Execute Sprint 6: Polish & Documentation
  • Thorough QA and README rewrite