UNVEILING THE WOMEN’S SAFETY IN INDIAN CITIES THROUGH MACHINE LEARNING ON TWEETS

Abstract

From rape to following, ladies and young ladies in Indian urban communities frequently experience
different kinds of viciousness and badgering out in the open spots. The current review examines the capability of
web-based entertainment stages, explicitly Instagram, Facebook, and Twitter, to work on the security of ladies. It
investigates the manners by which these stages could assist Indians with fostering a feeling of social obligation to
place ladies' wellbeing first in their networks. This study expects to tackle the force of virtual entertainment to
decidedly influence Indian youth culture by concentrating on tweets and other web-based entertainment data
connecting with ladies' wellbeing in Indian urban communities. It upholds the spread of messages that instruct and
bring issues to light about ladies' wellbeing and calls for intense disciplines for harassers. Twitter is an imperative
discussion for ladies to share their encounters and stresses over security in open regions due to its enormous
following and hashtag developments. This study features the meaning of using ML approaches for the effective
examination of web-based entertainment information, subsequently supporting endeavors to ensure more secure
settings for ladies in Indian urban communities.