Smart scream surveillance public safe through audiobased crime detection using machine learning

The "Smart Scream Surveillance for Public Safety through Audio-based Crime Detection Using Machine Learning" is designed to enhance public security by detecting distress signals such as screams. Through machine learning and voice recognition, this system identifies distressing sounds, triggering an automatic emergency response. Once the user registers with their contact information and emergency numbers, they can activate the system by pressing the 'Start' button. When a scream is detected, the system sends emergency messages to the pre-registered contacts with the user’s live location. The 'Stop' button deactivates the voice detection. This system aims to assist in reducing emergency response time by providing real-time alerts to family and emergency services. It represents an innovative approach to personal safety, leveraging machine learning algorithms and audio-based detection methods to respond swiftly in dangerous situations.

Keywords: Crime Detection, Machine Learning, Voice Recognition, Emergency Response, Public Safety