Artificial Intelligence with Streamlining Payments and Lending for a Simpler Financial Ecosystem

financial transaction and loan management processes need optimisation and simplification to make the ecosystem more productive and user-friendly. The loan and payment procedure will be simplified as a result. Streamlining the payment process aims to make it more easy, secure, and quick. In order to streamline loans and payments, this article presents a new approach to enhancing the efficiency of financial ecosystems via the use of artificial intelligence technologies. Financial data may be preprocessed using Latent Dirichlet Allocation (LDA) to extract valuable features and patterns. Then, we use Variational Autoencoders (VAEs), a kind of data classification algorithm that can learn and reflect complicated relationships, to sort the data. This step aids in the discovery of potential lending opportunities and the more precise classification of transactions. Step two will include making precise predictions about future monetary patterns and behaviours using an improved Singular Value Decomposition (SVD) for Predicting. The integration of these three steps creates a solid basis for an AI-powered streamlined financial ecosystem, which in turn simplifies loan options and payment processes.