International Research Journal of Education and Technology

Detecting hateful memes across different types of media, like images and audio, is becoming increasingly important in today’s digital world, especially given their widespread impact on social media. To tackle this issue, we're developing a web-based app that uses deep learning models—such as CNNs and RNNs—along with multimodal techniques like CLIP to spot hateful content. The goal is to reduce the negative effects of harmful memes in our online communities. This project is designed with ethical standards in mind, ensuring that digital content is shared responsibly. In the end, it aims to create a safer, more positive online space for everyone