This paper introduces a groundbreaking interactive response system to enhance data collection and storage efficiency in pandemic scenarios. The system aims for rapid and accurate analysis of human body temperature and immediate access to personal details when entering public or private spaces. By employing advanced speech-to-text conversion technology, it integrates innovative components for temperature detection and speech recognition, prioritizing healthcare safety and preventive measures. This research addresses the urgent need for robust safety protocols during the global health crisis. The system automates temperature detection and digital recording of personal details and is designed for use in various settings like malls, schools, and clinics. Individuals undergo non-contact infrared temperature screening and provide personal information via speech, which is converted to text. Based on temperature readings, individuals receive notifications about their access status through a speaker system. All data is securely stored and can be shared with healthcare departments as necessary. The core technology involves voice recognition, converting voice signals into text or commands using advanced speech signal processing and pattern recognition techniques.

Interactive response system, data collection, storage efficiency, pandemic scenarios, human body temperature analysis, speech-to-text conversion, temperature detection, speech recognition, healthcare safety, preventive measures, automated detection, digital recording, non-contact infrared screening, voice recognition, speech signal processing, pattern recognition.