AI Model for Personalized Goal Visualization via API Data Ingestion
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Solution Overview
Problem
Existing technologies lack an effective method to visualize and achieve goals, as they do not provide a structured approach to goal setting and visualization.
Innovation Solution
An apparatus and method that utilize a software application hosted by a host platform, which ingests data from websites via APIs, displays prompts to users, receives responses, and generates travel itineraries, structural designs, or goal determinations using an AI model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an AI model is used to generate personalized content, then user motivation and focus are enhanced, but system complexity increases
Solution Approach 1:
The patent introduces an AI model as an intermediary component that processes user data and generates personalized visual representations. This mediator handles the complex analysis and generation tasks, isolating the complexity from the user interface while maintaining simplicity for the end user. The AI model acts as a bridge between raw user data and personalized goal visualization, resolving the contradiction by containing system complexity within a specialized component.
Solution Approach 2:
The system is divided into distinct functional modules: data ingestion from websites via APIs, data storage in a data store, prompt generation, user response collection, AI model processing, and result display. This segmentation allows each component to be optimized independently, managing overall system complexity while enabling sophisticated personalized goal visualization through the AI model.
2Measurement precision
If multiple data sources are integrated via APIs, then personalization accuracy improves, but data processing time increases
Solution Approach 1:
The system performs preliminary data ingestion and storage from multiple website sources via APIs before the actual goal visualization process. By pre-collecting and storing user data in a structured format in the data store, the system reduces processing time during goal generation while maintaining high personalization accuracy through comprehensive data availability.
Solution Approach 2:
The system creates structured copies of data from multiple external website sources and stores them in a standardized format in the data store. This copying approach allows efficient retrieval and processing of personalized information without repeatedly accessing external sources, reducing data processing time while maintaining accuracy through faithful data representation.
Data Source
AI summary
An example operation may include one or more of ingesting data from one or more websites via one or more application programming interfaces (APIs) and storing the data within a data store of a host platform, generating one or more prompts and displaying the one or more prompts on a user interface of a user profile page within a software application hosted by the host platform, receiving one or more responses to the one or more prompts, generating a design of a structure based on execution of an artificial intelligence (AI) model on the data from the one or more websites, the one or more prompts, and the one or more responses, and displaying the design of the structure via the user interface of the user profile page of the software application.