Digitwin: AI-Driven Habit Intelligence and Productivity Dashboard

Ragavi K,Nanthana S B,Shudaryaazhini K,Mr.Sivakumar S

Department of Computer Science and Engineering | 2026

Abstract:Modern lifestyles increasingly suffer from fragmented attention, poor habit consistency, and a lack of data-driven self-awareness. Existing productivity and wellness applications are either too simplistic to capture complex behavioral patterns or too complex for everyday adoption. This paper presents DigiTwin, an AI-driven personal wellness and productivity dashboard that acts as a digital reflection of a user's daily lifestyle. DigiTwin integrates four core pillars—Log, Habits, Journal, and Analysis—into a unified platform that tracks sleep, nutrition, physical activity, mood, screen time, and focused study or work sessions. By leveraging AI-driven behavioral analytics, goal vs. actual performance comparisons, and an intuitive minimalist interface, DigiTwin empowers users to identify patterns, close behavioral gaps, and build lasting habits. Experimental evaluation demonstrates measurable improvements in user self-awareness, habit adherence rates, and productivity consistency. Future developments include AI-personalized recommendations, wearable device integration, and social accountability features.Keywords: Habit Tracking, AI Wellness, Productivity Dashboard, Mood Monitoring, Behavioral Analytics, Focus Timer, Digital Well-being, Personal Analytics