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Spoticry
This talk presents SpotiCry, a full-stack emotional analytics platform using AI techniques to analyze and predict student emotional patterns during stressful times.
SpotiCry is a full-stack emotional analytics platform I developed to help college students understand their emotions during stressful times. It uses D3.js and
Chart.js for data visualization, with a Flask-based RESTful API serving data to a React frontend. The platform automates data extraction from Google Sheets and uses MongoDB for storage. I am now exploring AI integration, specifically NLP for analyzing user inputs and ML models for predicting emotional patterns. I will demo the current functionality and discuss the challenges and opportunities in incorporating AI to enhance emotional insights and user experience.