Cyber-Bullying Detection on Social Medial Using Machine Learning

In recent years, the rapid progress of artificial intelligence has captured the interest of numerous researchers in this field. Image captioning this study focuses on using image captioning methods to improve accessibility for those who are blind or visually impaired. Our project intends to automatically generate captions for photographs using deep learning techniques, so that blind people may comprehend visuals with ease. Image captioning is used in many contexts other than only accessibility; it's used in social media, education, and navigation, among others. Furthermore, this paper takes a close look at different ways of describing images, like using CNN-LSTM, scene features, and CNN-attention methods. We measure how well these methods work by checking scores like BLEU and ROUGE. We also talk about why different image collections are helpful for teaching computers how to understand pictures. By doing this, we hope to learn more about how to make images easier for people who can't see well. We also show how this technology can help with things like social media, school, and finding your way around. This paper hopes to help others learn more about making technology that's helpful for everyone, including people who can't see well.