Neural Network Recipe Generation for Market-Aligned Food Products

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Solution Overview

Problem

Current solutions for generating recipes for healthier food options are limited by reliance on isolated or historical data, failing to align with current market trends for flavor and texture, and involve manual processes that delay product development.

Innovation Solution

An AI-driven platform using a neural network to rank food ingredients based on health-based features, cost, and prevalence, generating new recipes that incorporate select ingredients to create healthier, flavorful food products that reflect current market trends.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual processes are used to generate recipes, then recipe development can be done with simple tools, but the process delays product development

Engineering Contradiction:

Improverecipe development speedVSAvoidproduct development time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical processes with an AI-driven neural network system that automatically generates recipes by analyzing ingredient databases, nutritional requirements, and market trends, eliminating manual recipe development delays

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service recipe generation where the AI autonomously creates recipes based on input parameters without requiring manual intervention, allowing continuous operation and faster product development

Inventive Principle:

Principle #25Self-service

2Adaptability or versatility

If isolated or historical data is used for recipe generation, then data collection is simpler, but the recipes fail to align with current market trends for flavor and texture

Engineering Contradiction:

Improvealignment with market trendsVSAvoidcurrent market trend information

Core Design Contradiction:

Adaptability or versatilityVSLoss of information

Solution Approach 1:

The patent implements feedback mechanisms where the AI system continuously analyzes current market data, consumer preferences, and trend information to adjust and update recipe generations, ensuring alignment with evolving market demands

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary analysis of market trends and consumer preferences before recipe generation, pre-processing current market data to inform and align recipe creation with upcoming demands

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS11521734B2Recipe generation based on neural network

Publication Date: 2022.12.06 JOURNEY FOODS INC

AI summary

An illustrative aspect of the present disclosure is a system and method of generating a recipe, which includes determining rankings for a plurality of food ingredients for a target food product according to at least one of a health-based feature, a cost, or a prevalence of the plurality of food ingredients. A neural network can receive, as inputs, the rankings of the plurality of food ingredients, and a plurality of existing recipes for food products in a same category as the target food product. The neural network can generate, as output, according to the rankings of the plurality of food ingredients and the plurality of existing recipes, a new recipe for the target food product that incorporates a select food ingredient from the plurality of food ingredients.