Community Digital Transaction Authentication via Distributed Ledger
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Solution Overview
Problem
Current systems lack efficient methods for objectively evaluating community fit for services and investments, leading to subjective decisions in loan issuances and service provision, as they rely heavily on unverified and unauthenticated user reviews.
Innovation Solution
A distributed ledger system that utilizes community factors, user authentication, and reputation scores to objectively assess community needs and service demand, enabling secure and accurate digital transactions by integrating municipal, vehicular, and utility data with machine learning algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional loan evaluation systems are used, then decision-making process is simple, but objectivity and accuracy of community fit assessment deteriorates due to reliance on unverified user reviews
Solution Approach 1:
The patent segments the community fit assessment into multiple independent factors including demographic data, economic data, crime data, education data, and employment data. Each factor is evaluated separately using verified data from multiple sources, then aggregated to produce an overall community fit score. This segmentation allows for objective measurement without requiring a single complex evaluation system.
Solution Approach 2:
The patent introduces a distributed ledger system as an intermediary layer between raw data sources and loan decision-making. The ledger stores and verifies community data from multiple sources, creating a trusted intermediate representation that can be objectively assessed. This intermediary enables accurate measurement while keeping the overall system architecture manageable through modular data verification.
2Reliability
If distributed ledger system with multiple data sources is implemented, then objectivity and security of transactions is improved, but system complexity increases
Solution Approach 1:
The distributed ledger system performs multiple functions simultaneously: it stores community data, verifies data authenticity, maintains transaction records, and enables community fit assessment. By making the ledger universal and multi-functional, the patent achieves high reliability and security without proportionally increasing complexity, as a single infrastructure serves multiple critical purposes.
Solution Approach 2:
The system performs preliminary data verification and community fit assessment before loan transactions occur. Community data is pre-validated and stored on the distributed ledger, and community fit scores are calculated in advance. This preliminary action ensures transaction security and objectivity while reducing the complexity of real-time verification during actual loan processing.
3Productivity
If automated gap analysis and fund transfer are implemented, then productivity of loan processing is improved, but risk of automated decision-making increases
Solution Approach 1:
The system incorporates feedback mechanisms where community fit assessment results and gap analysis outcomes are continuously monitored and used to refine lending decisions. The distributed ledger maintains a record of assessment outcomes that can be reviewed and adjusted based on actual loan performance data. This feedback loop ensures that automated high-speed processing maintains reliability through continuous validation and adjustment.
Solution Approach 2:
The system enables self-service automated gap analysis that objectively compares community service needs against available services. The automated analysis identifies gaps without human intervention, and the system can automatically initiate fund transfers when gaps exceed thresholds. This self-service capability increases productivity while maintaining reliability through transparent, rule-based automated decision-making that is auditable on the distributed ledger.
Data Source
AI summary
The present application generally relates to a system that includes one or more sensors configured to acquire data representative of a geographic area, including municipal data, vehicular data, utility data, or a combination thereof. The system also includes a processor that receives a request for a loan from a requesting party. The request is associated with a service to be provided to the geographic area. The processor determines a factor for the geographic area based on the data, and the factor is representative of a presence of the service within the geographic area. Additionally, the processor determines a gap associated with the service within the geographic area. The gap is indicative of a perceived desire for the service within the geographic area. Furthermore, the processor determines whether the gap exceeds a threshold value and automatically transfers funds to the requesting party in response to the gap exceeding the threshold value.