HARMFUL ACT DETECTION USING DEEP LEARNING

Abstract

The advent of deep learning techniques has revolutionized various domains, including the detection of harmful acts in digital environments. This abstract presents an overview of a project aimed at leveraging deep learning methodologies to detect and mitigate harmful acts, such as cyberbullying, hate speech, and misinformation dissemination, across online platforms

The project utilizes deep learning architectures art , that includes convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer-based models, trained on large-scale annotated datasets