The college participated in the Fourth Maghreb International Symposium (MI-STA’2024) with a research paper entitled: Classification of Cervical Cancer using Convolutional Neural Networks prepared by: Sara Omar - Faculty of Information Technology, University of Benghazi Salwa Al-Mashaiti - Faculty of Electrical and Electronic Technology Salima Younes - Faculty of Electrical and Electronic Technology Kanz Bouzid - Faculty of Information Technology, University of Benghazi The paper highlights the classification of cervical cancer using convolutional neural networks. This type of cancer is the most common among women and can be treated if detected early. The aim of the study was to obtain an effective classification model based on deep learning for early detection of cancer, achieving a classification accuracy of 94.198% using biopsy data.