Recipe Engine System for Personalized Meal Planning
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Solution Overview
Problem
Existing recipes and cooking resources, such as cookbooks and websites, fail to consider essential parameters like the cook's skill level, available ingredients, preparation time, seasonal appropriateness, and dietary preferences, leading to inefficient and unsuitable meal preparation.
Innovation Solution
A system and method that provides personalized electronic meal information by prompting users for their parameters, selecting and generating recipes, and generating an ingredient list, which can be used to purchase ingredients through an e-commerce platform, ensuring recipes are tailored to the user's context and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional cookbooks and websites provide recipes without considering user parameters, then recipe information is universally available, but the recipes are not tailored to individual needs and result in wasted time and resources
Solution Approach 1:
The system dynamically adapts recipe recommendations based on real-time user inputs including skill level, available ingredients, time constraints, and seasonal factors. The recipe generation process is not static but adjusts continuously according to user parameters, making the system versatile and personalized while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The system changes multiple parameters simultaneously to generate personalized recipes: skill level parameter, available ingredients parameter, time constraint parameter, and seasonal parameter. By adjusting these parameters dynamically, the system achieves high adaptability without requiring complex manual configuration for each user scenario.
2Loss of time
If cookbooks provide multiple recipes without consolidating time requirements, then recipe variety is increased, but the total preparation time is underestimated and not adequately planned
Solution Approach 1:
The system performs preliminary consolidation of time requirements for all recipes in a meal plan before presenting it to the user. By calculating and displaying the total accumulated preparation time in advance, users can make informed decisions about their meal plans without experiencing time surprises during actual cooking.
Solution Approach 2:
The system provides feedback to users about the total time commitment required for their selected recipes. This feedback mechanism allows users to adjust their meal plans based on realistic time assessments, improving both time management and planning efficiency.
3Adaptability or versatility
If seasonal recipes are provided in cookbooks, then recipes are appropriate for specific times of year, but ingredients may be unavailable or not fresh in other seasons
Solution Approach 1:
The system dynamically adjusts recipe recommendations based on the current season and user-specified seasonal preferences. By incorporating real-time seasonal data and user preferences, the system ensures that recommended recipes use ingredients that are currently available and fresh, eliminating the mismatch between seasonal recipes and ingredient availability.
4Adaptability or versatility
If recipes are provided without considering cook's skill level, then recipe accessibility is maximized, but beginners may find recipes too difficult and experienced cooks may find them too simple
Solution Approach 1:
The system applies local quality by tailoring recipe complexity and detail to the specific skill level of each user. Beginner users receive recipes with more detailed instructions and simpler techniques, while experienced cooks receive more advanced recipes with less hand-holding. This localized adaptation ensures optimal usability for each user's skill level.
5Adaptability or versatility
If individual recipes are sourced from multiple independent sources, then recipe variety is increased, but the complete meal may not have coherent flavor profiles or complementary dishes
Solution Approach 1:
The system merges multiple recipe selections into a coherent complete meal plan by evaluating flavor profiles, ingredient compatibility, and course sequencing. Rather than simply aggregating independent recipes, the system integrates them into a unified meal composition that ensures coherence and complementarity across all courses.
Data Source
AI summary
Disclosed is a system and method for providing electronic meal information to a user. At least one database stores recipe information, recipe attribute information process information and time information for recipes. A web site linked to the Internet includes a prompt for a user to submit at least one characteristic of a meal and another prompt for available ingredient information. Recipe information is generated by a selection of at least some of the stored electronic recipe information that corresponds to the characteristic of the meal and the available ingredients. An electronic list of ingredients is generated that includes the difference between ingredients for the meal, and the at least one ingredient that the user has available for the meal.