Abstract: A computer-implemented method of recording voter selections includes receiving data of a rental history for a tenant. The data of the rental history for the tenant includes at least two data sets selected from past rent owed, payment history, length of time at a previous residence, history of the tenant being a primary renter, history of the tenant being a co-tenant, history of the tenant being a co-signer, occurrences of judgments against the tenant, or behavior of the tenant at the previous residence. The method includes assigning a category score to each data set of the at least two data sets using a convolutional neural network (CNN). The CNN determines an average category score for the data sets by averaging the assigned category scores for the data sets. A rental credit score is generated based on the determined average category score for the data sets.

Abstract: An online system and method for tenants and landlords to conduct property rental transactions and property management, while simultaneously assessing the performance of landlords and tenants in an online environment.