Students often struggle to maintain consistent habits due to limited feedback, lack of timely guidance, and difficulty visualizing their own progress. To address these challenges, this paper presents the rationale for an AI-driven, web-based student habit tracker designed to provide continuous monitoring, intelligent insights, and personalized recommendations. By integrating modern web technologies with AI-powered analytics, the system transforms raw habit data into meaningful patterns—such as completion trends, streaks, and time-based performance summaries—that help students make informed adjustments to their routines. The platform delivers real-time nudges, contextual suggestions, and adaptive goal-setting support, ultimately fostering self-regulation, accountability, and long-term behavioral improvement. This rationale establishes the need for such a tool in academic environments and highlights its potential to enhance student productivity, motivation, and sustained habit formation.