digital-behavior

Composition-first analytics for daily screen time. Computes the Digital Balance Index (DBI) using normalized entropy, plus dominance, tiers, and a “high-load & skewed” flag. Exports scored rows, segment summaries, daily trends, and figures, and ships a Streamlit dashboard to explore patterns by age group, primary device, and internet type.

The goal of this project is to develop a predictive model that analyzes children's physical activity and fitness data to identify early signs of problematic internet use. Identifying these patterns can help trigger interventions to encourage healthier digital habits.

Psychiatry-informed research workspace for configurable analysis of human-AI interaction patterns.

The project aims to analyze survey data on screen usage,productivity and behavioural patterns to predict Attention Fragmentation, Digital Overuse and Intervention Readiness using machine learning model.