System for the digital representation, predictive analysis and acceleration of the development of religious tourism

Abstract

A computer-implemented system for the digital representation and predictive analysis of tourism development, consisting of: a server comprising a processor, memory, and a communication interface; a database stored in memory, containing the following data: (a) infrastructure datasets, including data fields for accommodation, transportation, destinations, retail, and food service establishments; (b) user behavior records, including data fields representing spiritual engagement, cultural engagement, emotional indicators, wellness indicators, and sociological interaction; (c) economic datasets, including data fields representing the expenditure values ​​associated with the infrastructure datasets; and (d) time series records, including data fields representing the historical development of the infrastructure, behavior, and expenditure values.a processor-executed feature extraction unit configured to convert a variety of infrastructure datasets, user behavior datasets, economic datasets, and temporal datasets into feature vectors stored in memory; a processor-executed, in-memory machine learning model, wherein the machine learning model consists of parameter weights derived from the feature vectors and the machine learning model is adapted to generate stored model outputs that represent correlations between infrastructure availability, behavioral features, economic features, and temporal variation;a processor-executed AI inference engine configured to apply parameter weights to at least a subset of feature vectors to manage in memory a predictive data structure representing forecasted infrastructure usage, behavioral changes, and economic outcomes, wherein the predictive data structure is persistently stored in the database as a relational representation defining the interactions between infrastructure datasets, user behavior datasets, economic datasets, and time series datasets, and wherein the communication interface is configured to transmit at least a subset of the predictive data structure to a remote client device for visualization or further processing.