Prediction of Probability of Crying of a Child and System Formation for Cry Detection and Financial Viability of the System

Abstract

Sometimes parents don't have resources or time to attend to their young ones as they have certain predispositions. This document demonstrates the process of construction of a web-service/module, defines the algorithm, procedure of construction of the algorithm and the analysis/results of the procedures performed. The market for this system is the working class nuclear families or single parents that are not present for their babies and have to take help from nannies to keep an eye for them. The algorithm constructed is itself build upon various algorithms that were developed in past and incorporated in the ML studio as modules so a dataset has been generated and utilized these modules to from an algorithm to predict the probability of a child's crying in next few hours based on the previous data that has been collected (randomly generated in this case). A module for creation of automatic machine is stated which augment a basic child cry monitor with Machine Learning and Cognitive services for faster cheaper and more reliable cloud based solution for parents.