Work Accomplished:
- Completed a modular backend design that outlines the full data flow, from user profile intake to product tracking and budgeting. The system now supports clear separation of concerns across user_profile, meal_planner, ingredient_substitutor, grocery_tracker, product_scanner, and mqtt_handler
- Successfully integrated LangChain with the GPT-4 model to extract dietary preferences, allergens, and cultural requirements from user input and generate personalized meal plans
- Wrote standalone test files for each backend component to ensure correctness and maintainability
Progress Status:
I am now on track with the backend development roadmap. The foundation is built and tested. Modules are independently working, with API integrations functional. Code is modular and testable.
Goals:
-
Complete MQTT-to-frontend integration with real hardware input.
-
Connect product substitution logic with real scanned products.