Authors - Prajakta Shinkar, Madhuri Suryavanshi, Sakshi Satav, Mahima Thakre, Saisha Chaudhary Abstract - The contemporary academic and professional world requires smart systems of productivity that are not limited to the old task managers. The paper introduces an intelligent personal productivity assistant powered by AI that consists of generative AI, dynamical schedule, behavioral analytics, and gamification using a mobile-first structure. The system is based on a Flutter frontend and FastAPI backend and a hybrid AI architecture to create conversational tasks and understand their context. A burnout detection module is a behavioral module that analyzes workload trends, tasks owed and completion trends to give early risk alerts. A smart scheduling system aggressively plans on a daily basis with priority-based model, conflict resolution and Pomodoro-based segmentation. The proposed system combines conversational AI, predictive analytics, and motivational reinforcement to increase productivity and decrease cognitive load and help avoid burnout in managing tasks.
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