Automated Home Assessment System Using Database Parsing
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Solution Overview
Problem
There is a need for improved systems and methods to provide users with automated and customized recommendations for home assessments and maintenance, considering both public and customer-specific data, to ensure timely and effective maintenance and insurance-related decisions.
Innovation Solution
A computerized system comprising a server with a processor and memory, connected to both public and customer databases, which receives user requests, parses relevant information, and generates customized recommendations for home maintenance, insurance tips, and incentives based on analyzed data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual home assessment methods are used, then detailed evaluation can be performed, but time consumption and labor costs increase significantly
Solution Approach 1:
The patent replaces manual mechanical assessment processes with an automated computerized system that collects, parses, and analyzes home data from multiple databases. The system automatically generates maintenance recommendations by processing structured and unstructured data, eliminating the need for manual home inspections while maintaining assessment accuracy through comprehensive data analysis from public records, utility companies, and customer information.
Solution Approach 2:
The system enables self-service home assessment by automatically collecting data from multiple sources including public databases, utility companies, and customer-provided information. The computerized system independently performs data parsing, analysis, and recommendation generation without requiring manual intervention, allowing homeowners to receive automated maintenance assessments and recommendations.
2Adaptability or versatility
If generic home maintenance advice is provided, then broad coverage is achieved, but customization and relevance to specific homes are reduced
Solution Approach 1:
The patent applies local quality by tailoring maintenance recommendations to specific home characteristics, locations, and conditions. The system parses customer information including home features, materials used, and location-specific data from public databases to generate customized recommendations. Each recommendation is adapted to the specific home's needs based on its unique attributes, such as local weather patterns, age of home, and specific structural features.
Solution Approach 2:
The system performs preliminary actions by pre-collecting and organizing home data from multiple databases before generating recommendations. Customer information, public records, and utility data are parsed and stored in advance, allowing the system to quickly generate customized recommendations when needed without complex real-time processing.
3Reliability
If comprehensive data from multiple sources is collected, then recommendation accuracy improves, but information processing complexity and storage requirements increase
Solution Approach 1:
The patent segments the data collection and processing system into multiple specialized databases, each storing specific types of information. Customer information is stored separately from public records, utility company data, and maintenance recommendations. This segmentation allows the system to manage complex data from multiple sources efficiently by organizing it into discrete, manageable components that can be independently parsed and processed.
Solution Approach 2:
The system uses an intermediary computerized platform that connects and integrates data from multiple external sources including public databases, utility companies, and customer information systems. This intermediary system parses and standardizes data from different formats and sources, enabling reliable recommendation generation while managing the complexity of multi-source data integration through a centralized processing layer.
Data Source
AI summary
Disclosed herein is a customized recommendation system for home assessment, in which the system comprises at least one or more databases, a computing device, and a device comprising hardware, including a processor and memory. The server device may receive a request for information on a home of a user from the computing device. The server device may identify publicly available information for the home and customer information comprising information about one or more features of the home and materials used in the home by parsing the one or more databases. By further analyzing the customer information and the publicly available information, the server device may determine one or more tips for the home and generate a customized recommendation including the one or more tips for the home. The server device may transmit the customized recommendation to the computing device associated with the user.