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Auto Tracker: A Gamification-Driven Mobile Framework for Intelligent Habit Formation and Productivity Logging

1Chindam Vivek, 2Kontham Shiva, 3Bodugam Vishnu, 4Sura Vigneshwar, 5Rangu Rohan, 6Dr. H.Jayasree
1,2,3,4,5UG Student, Dept. of Computer Science & Engg. (AI&ML), 6Professor, Dept. of Computer Science &Engg.
1vivekchindam03@gmail.com, 2konthamshiva569@gmail.com, 3b.vishnureddie@gmail.com,
4Svigneshsura@gmail.com, 522.696rohan@gmail.com, 6jayahsri@gmail.com
Jyothishmathi Institute of Technology and Science, Karimnagar, Telangana

Abstract—Maintaining consistent behavioral routines is a widely documented challenge in personal productivity. Despite the proliferation of mobile habit-tracking tools, most existing solutionsremain limited by rigid scheduling models, punishing streak-reset  mechanics, and insufficient analytical feedback. This paper presents Auto Tracker, a cross-platform mobile application developed with Flutter and Firebase Firestore, that tackles these shortcomings through a cohesive design informed by behavioral psychology. The systemincorporates a dual-mode scheduling engine with partial-completion  support, a context-sensitive streak algorithm tolerant of noncontiguous habit patterns, and a multi-tier gamification layer  featuring 20 progression levels, 14 achievement badges, and anexperience-point economy with milestone bonuses. AI-driven 30-day habit planning is delivered via Google Gemini 2.5 Flash, while onboard pedometer and timer sensors enable objective validation ofphysical habit completion. Taken together, these components form an  integrated platform that advances beyond prior fragmented approachesto support durable, self-directed routine formation.
Keywords—Habit Tracking, Gamification, Flutter, Firebase, Mobile Application, Streak Computation, AI Plan Generation.