A Proposed System for Forecasting of Personal Cash Flow and Saving Prediction

Abstract

The aim of this study is to develop an effective and interactive application that helps users regulate their expenditures and encourage them to save. In this application; it is aimed to estimate the forward cash flow using personal regular and irregular historical financial data and future full or partial specific financial data and the dynamic date estimation of when a person will reach a target for accumulation after a long term is aimed with the information obtained in this process. This prediction will benefit the user by supporting cash savings or in a loan plan. In the first stage of the proposed system, a fast microservice based architectural system that collects instant data to be used in forward cash flow estimation is designed. The second part of the study is the estimation of the nearest possible date to reach an accumulation amount target by adapting the most frequently used neural network algorithms and applications in the literature.