A Review On a Smart Women Safety Application with Crime Prediction, Voice Activation, And IOT-Based Evidence Collection
Dr. Snehal Golait, Ketki Dhawale , Tina Kongre , Vaishnavi Kathane
DOI : 10.46335/IJIES.2026.11.3.5
Abstract – The rising number of harassment and assault cases against women highlights the need for smarter safety solutions. This review paper introduces a women’s safety mobile application that uses modern technologies like real-time location tracking, voice activation, machine learning, and IoT to provide quick and reliable help during emergencies. The proposed app allows users to send instant SOS alerts with live location to trusted contacts, either by tapping a button or using voice commands like “help.” It also includes a camera feature to capture real-time evidence and stores it securely. Additionally, the system predicts crime risk levels in different areas, helping users stay aware and make safer decisions.By combining mobile technology, cloud services, and intelligent algorithms, this solution offers a fast, reliable, and user-friendly approach to improving women’s safety, with quick response times and high prediction accuracy.Top of Form
