AI Trauma Chatbot Analyzing Voice, Text and Providing Direct Doctor Link

Abstract

Mental health support that is available and fast becoming a necessity because of the rising prevalence of psychological distress caused by trauma events. The research develops an AI-based trauma chatbot with text and voice sentiment evaluation alongside doctor access to provide improved mental health assistance strategies. The system analyzes both written texts and voice signals and specific emergency terminology to evaluate emotional conditions while providing immediate support and both therapeutic and professional services in critical situations. Through NLP and SER technologies the chatbot functions to evaluate mental distress intensity while providing suitable treatment recommendations. The proposed system demonstrates its capability to detect critical emotional states according to assessments made by comparing existing chatbot models and psychological tools. This investigation strives to enhance mental health service access through building a scalable time-responsive conversational agent which effectively detects and helps patients deal with trauma-related emotional distress.

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