A full-stack AI web application has been developed to analyze the mental health of university students using the PHQ-9 questionnaire and a refined OpenAI GPT-3.5 model to measure depression levels. The application uses React, Node.js, Express, and MongoDB technologies, and focuses on user privacy, accuracy, and timely mental health intervention.
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A full-stack AI web application has been developed to analyze the mental health of university students using the PHQ-9 questionnaire and a refined OpenAI GPT-3.5 model to measure depression levels. The application uses React, Node.js, Express, and MongoDB technologies, and focuses on user privacy, accuracy, and timely mental health intervention.
ChanukaH99/MiniProject
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A full-stack AI web application has been developed to analyze the mental health of university students using the PHQ-9 questionnaire and a refined OpenAI GPT-3.5 model to measure depression levels. The application uses React, Node.js, Express, and MongoDB technologies, and focuses on user privacy, accuracy, and timely mental health intervention.
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