An Extensive Research of Women Distress Arising from Harassment Circumstances: Leveraging Data Analytics and Machine Learning Methodologies to Systematically Address the Psychological Distress and Apprehension through web app

In a time of notable progress, the persistent concerns of women regarding safety and harassment underscore the imperative to safeguard their well-being in diverse spheres, encompassing homes, schools, colleges, and workplaces. Despite notable advancements, a significant hindrance emerges as women often withhold their voices and actions, primarily driven by privacy apprehensions. This research endeavors to meticulously analyse the multifaceted forms of harassment experienced by women and illuminate the resilient responses they adopt By exploring the complexities of their experiences, our aim is to provide a succinct yet thorough understanding of the challenges faced by women. This exploration not only identifies prevailing issues but also brings to light the proactive measures undertaken by women in combating harassment. Additionally, it recognizes the profound impact on mental health, shedding light on how harassment can detrimentally affect the psychological well-being of women. Through this research, we aspire to amplify the voices of women, heighten awareness, and contribute to the creation of safer environments for women navigating a world where harassment remains a persistent concern, acknowledging the critical intersection of mental health and the experiences of women in such situations. Just technically, machine-learning algorithms were used to inform decisions during the study.