AI-Powered Virtual Mental Health Assistant for Early-Stage NLP-Based Mental Health Screening

Mental health issues have become a significant global concern, affecting individuals' ability to perform daily tasks and increasing the risk of social prejudice. This paper presents a solution to address mental health challenges while reducing the burden on medical professionals. Our research includes a survey of 41 respondents to gauge public perception of mesntal health and their willingness to share their thoughts. We propose a web-based platform that provides mental health guidance and facilitates direct communication with psychologists. The platform integrates a speech-to-text model for audio transcription and a natural language processing (NLP) model to classify mental health conditions. Its architecture ensures secure data storage while enabling users to access essential resources without fear of discrimination.