IMAGE CLASSIFICAION OF ALL MTU CHAPEL BOOKS USING ARTIFICIAL NEURAL NETWORK

Abstract

This project is based on Image Classification of all MTU chapel books using artificial neural network which will be used in Mountain Top University Chapel. The staff in chapel checks for student that don’t come with their chapel books, even when the students are so many, in the process time wastage comes in, with the help of artificial neural network which will be used to check student without their chapel book then, that can make students comes to the chapel with their chapel manuals. The aim of this project is to create a system that can notify students that enters Mountain Top University chapel without their chapel book which has been made compulsory to all students to get it. To achieve this, the pictures of all the MTU chapel books will be taken for the system to recognize. This project was built using the Jupyter Notebook environment. In the Jupyter Notebook environment, data was uploaded in the environment where the data will be trained so, the system will be able to recognize it anytime it is called. Artificial neural network (ANN) also known as neural networks is the piece of a computing system designed to simulate the way the human brain analyzes and processes information. It is the foundation of artificial intelligence (AI) and solves problems that by human or statistical standards, would prove impossible or difficult.