Age detection using neural networks and machine learning

For the Computer Science capstone project, I aim to detect the age of humans using neural networks and machine learning. This proposal uses neural networks to predict a human subject’s age from a photo. Neural networks are computing systems inspired by how the neurons of living beings operate. Machine learning is a technique, including neural networks, that involves training machines to learn from provided data to the program. Using neural networks and machine learning, photos of people will be analyzed, which will also train the program model. In the analysis process, the face of human subjects will be the area of a photo that the program will work with, and based on the selected area of a photo by max pooling method and CNN analysis layers, the program will predict age. In this work, the program will be trained with a dataset that contains images of people and their ages. Please find below a copy of the project proposal;