Financial Goal Visualization Board With ML Plan Suggestions
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Solution Overview
Problem
Consumers face difficulties in assessing relevant personal financial data for specific goals and connecting their financial goals with images and objects, and desire the ability to involve friends and family in their financial goals.
Innovation Solution
A computer-implemented method and system that utilizes a trained machine learning model to process user financial goals, digital images, and specific data to generate a digital visualization board and notifications suggesting plans to achieve the goal, incorporating activity determination and status updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If consumers access personal financial data from third-party systems to generate suggested plans, then the ability to create personalized goal achievement plans is improved, but the complexity of assessing relevant information and connecting data with images and objects increases
Solution Approach 1:
The patent introduces an intermediary system that automatically connects financial data from third-party systems with visual elements (images, objects) and generates personalized plans. This intermediary layer handles the complexity of data assessment and connection, allowing consumers to benefit from personalized plans without directly managing the complexity of integrating multiple data sources and visual elements.
2Ease of operation
If consumers manually assess personal financial data and connect it with images and objects, then the personalization and engagement with financial goals is improved, but the time and effort required to process information increases
Solution Approach 1:
The system performs self-service by automatically processing financial data, connecting it with visual elements, and generating personalized plans without requiring manual consumer intervention. The system autonomously assesses relevant information, establishes connections between data and images/objects, and presents customized goal achievement plans, thereby eliminating the time and effort that would otherwise be required for manual processing.
3Measurement precision
If the system processes and integrates user-specific and third-party data to generate actionable plans, then the personalization and usefulness of suggested plans is improved, but the data processing complexity and potential privacy concerns increase
Solution Approach 1:
The patent segments data processing into distinct modules: collecting user-specific data, collecting third-party data, processing and integrating the data, and generating personalized plans. This segmentation allows the system to handle complex data integration tasks through organized, manageable processes while maintaining precision in personalization. Each segment can be optimized independently, reducing overall system complexity while improving plan relevance.
Data Source
AI summary
A computer-implemented method for graphical user interface goal vision development may include receiving, via one or more processors, a first user financial goal of a user from a user device associated with the user; obtaining, via the one or more processors, at least one first user digital image; associating, via the one or more processors, the first user financial goal and the at least one first user digital image; obtaining, via the one or more processors, first user specific data relevant to the first user financial goal; transmitting, via the one or more processors, a digital visualization board indicative of the associated first user financial goal and the at least one first user digital image to the user device; determining, via the one or more processors, activity associated with the first user financial goal based on the first user specific data, by processing data including the obtained first user specific data using a trained machine learning model; and transmitting, via the one or more processors, a notification to the user device, wherein the notification is indicative of a suggested plan to achieve the first user financial goal, and wherein the notification is based on the determined activity and the first user financial goal.