An Intelligent Multi-Modal Framework for predicting student burnout via temporal sentiment analysis and behavioral pattern tracking. A full-stack solution built with Python, Flask, and NLTK to provide data-driven wellness insights and proactive mental health assessments.

4 stars 6 forks 4 watchers TypeScript Apache License 2.0
application dashboard data-visualization flask mental-health-analysis nltk open-source predictive-analysis productivity python react self-care sentiment-analysis student-burnout web-application wellness-tracker workspace
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An Intelligent Multi-Modal Framework for predicting student burnout via temporal sentiment analysis and behavioral pattern tracking. A full-stack solution built with Python, Flask, and NLTK to provide data-driven wellness insights and proactive mental health assessments.

TypeScript
#application#dashboard#data-visualization#flask#mental-health-analysis#nltk#open-source#predictive-analysis#productivity#python#react#self-care#sentiment-analysis#student-burnout#web-application#wellness-tracker#workspace

An Intelligent Multi-Modal Framework for predicting student burnout via temporal sentiment analysis and behavioral pattern tracking. A full-stack solution built with Python, Flask, and NLTK to provide data-driven wellness insights and proactive mental health assessments.

TypeScript
#application#dashboard#data-visualization#flask#mental-health-analysis#nltk#open-source#predictive-analysis#productivity#python#react#self-care#sentiment-analysis#student-burnout#web-application#wellness-tracker#workspace

An Intelligent Multi-Modal Framework for predicting student burnout via temporal sentiment analysis and behavioral pattern tracking. A full-stack solution built with Python, Flask, and NLTK to provide data-driven wellness insights and proactive mental health assessments.

TypeScript
#application#dashboard#data-visualization#flask#mental-health-analysis#nltk#open-source#predictive-analysis#productivity#python#react#self-care#sentiment-analysis#student-burnout#web-application#wellness-tracker#workspace

An Intelligent Multi-Modal Framework for predicting student burnout via temporal sentiment analysis and behavioral pattern tracking. A full-stack solution built with Python, Flask, and NLTK to provide data-driven wellness insights and proactive mental health assessments.

TypeScript
#application#dashboard#data-visualization#flask#mental-health-analysis#nltk#open-source#predictive-analysis#productivity#python#react#self-care#sentiment-analysis#student-burnout#web-application#wellness-tracker#workspace