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.

Uncover where and how mental health is discussed online using Python to analyze Reddit posts, map global trends, and preserve privacy.

MindSpace is a comprehensive mental wellness platform designed to analyze user sentiment through social media. The application uses machine learning to detect mental health indicators and provides users with detailed history, graphical insights, and data-driven feedback to help monitor their emotional well-being.

Binary classification model for Student Depression Analysis. Featuring ANN architecture, dropout regularization, and 85% test accuracy. 💻🚀

Student Mental Health Analysis Based on Length of Stay