Anatomize Machine Learning On Tweets, Facebook & Instagram To Assess Women’s Safety In Indian States

Women are enduring a significant degree of abuse on the internet, encompassing online harassment, in multiple urban regions as well as rural too. This study will help in understanding the role of machine learning methods in improving their safety and security of women in India through applying different algorithms. The study centered on employing various machine learning algorithms, including NLKT, TextBolb, TF-IDF, Decision Tree, to extract genuine data from popular social media platforms like Twitter, Facebook, and Instagram. Women are experiencing a substantial amount of abuse on the internet, including online harassment, on internet. There has been a rise in the occurrence of violence against women, necessitating the implementation of more stringent legislation and measures to ensure the safety of women. This study aims to elucidate the impact of Machine Learning model on enhancing the safety and security of women in India by implementing various algorithms. This paper’s result examined several machine learning algorithms to gain a deeper grasp of the present state of trending hashtags, phrases, speech, letters, or symbols linked to women on the Internet in different parts of India. This showcases the efficacy of several AI algorithms in identifying and thwarting cybercrimes, while also offering prospects for future investigation.