Implying a Community Vitality Index through Housing Factors
Keywords:
Real-Time, Community Vitality Index, Machine Learning, Multiple Regression Analysis, Housing Data, CensusAbstract
The Community Vitality Index (CVI) is pivotal in assessing community well-being, informing decision-making processes, encouraging community participation, and efficiently distributing resources to enhance residents' overall quality of life. Leveraging contemporary housing data and sophisticated multivariate regression algorithms allows us to train a machine-learning model for a real-time vitality index. This enables prompt recognition and response to evolving community dynamics, all without delays.
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