FoodOracle is an intelligent web application designed to eliminate the daily stress of meal planning. The project is currently being transitioned from a classic Windows desktop application—which I developed entirely from scratch—into a modern, cloud-ready Blazor WebAssembly architecture.
- Meal Management: A comprehensive CRUD system (Create, Read, Update, Delete) for managing individual dishes, including metadata such as category, cooking effort, and personal rating.
- Intelligent Week Planner: A generation function that provides a 7-day meal plan with a single click.
- Customization: The generated suggestions are flexible; users can manually swap or edit specific dishes within the generated list to suit their needs.
- Full-Stack Development: Every aspect of this project, including the frontend, backend, and the UI/UX design, is self-developed.
The heart of the application is a custom selection algorithm that goes beyond simple randomization:
- Weighted Rating: Dishes with higher user ratings have a statistically higher probability of being selected. This ensures that favorite meals appear more frequently while maintaining variety.
- Effort Balancing: The algorithm accounts for preparation time by limiting high-effort dishes to a maximum of two per week, ensuring the plan remains practical for a busy work week while reserving more complex cooking for the weekend.
- Frontend: Blazor WebAssembly (.NET)
- Backend: ASP.NET Core Web API
- Design: Custom CSS and UI components
- Data Persistence: SQL Database / Entity Framework Core
This project serves as a showcase for migrating a self-authored legacy desktop environment to a modern web-based ecosystem, demonstrating proficiency in algorithm design, system architecture, and UI/UX consistency.
The FoodOracle is actively being expanded with the following features:
- Recipe Integration: Adding detailed cooking instructions and ingredients to each dish.
- Interactive Dashboard: A weekly overview featuring drag-and-drop functionality to assign dishes to specific weekdays.
- Nutrition Scoring: Categorization based on health metrics, including Low-Carb and High-Protein tags.
- Automated Shopping List: Generation of a consolidated shopping list based on the finalized weekly plan.
Copyright © Alexandra Pöbl 2026. All rights reserved.
Please note that this repository is for demonstration and portfolio purposes only. The source code, logic, and design are my original intellectual property. No part of this project may be copied, redistributed, or used in other projects without my explicit written permission.