CRYPALERT: STAY SAFE SECURITY APP WITH SCREME ALERT USING CRYPTOGRAPHIC ALGORITHM
H L Nethra, NANDINI C, B B BHARATH, C. K., S P Chetan, CRAIG MANOHAR · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · 2025
With today's state of the world, personal safety is a big probability concern - particularly for women, children and the elderly. This project is the Stay Safe Security App that offers a novel emergency alerting system where scream detection is in place with location tracking as a way to keep users safe. The specific application of the app's main functionality happens when a loud scream has been detected thus enabling an automatic alert - without the use of their phone operation (for users who can't use their phone). [1] At the point of activation the app will capture the user's live location and grab an encrypted emergency message to pre-registered individuals or localized authorities, using a cryptographic algorithm. Encrypting messages with a cipher ensures sensitive data is sent securely, keeping privacy intact and away from outside influences. The encryption algorithms such as AES or RSA can be leveraged to solidify the alerting system with threats posed by ICE (Intentional Cyber Exploitation). [15] This app is meant to be an available safety app, and is intended to be a smart, responsive and reliable safety application that combines machine learning for sound recognition and GPS for location tracking using cryptography for safe messages. It empowers users with a proactive self-defense mechanism in critical situations, making it a valuable contribution to modern personal security solutions. [15] Keywords: Scream Detection,Emergency Alert System,GPS Tracking,Cryptographic Algorithm,AES Encryption,RSA Encryption