International Journal on Science and Technology
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Volume 17 Issue 1
January-March 2026
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TrackWise: Proactive Academic Support through Agentic AI A Review on Personalized Study Nudging and Deadline Optimization
| Author(s) | Ms. Bhargavi Kedar Joshi, Ms. Adrita Abhijit Banerjee, Mr. Ansh Narendra Lad, Prof. Vidya Sagvekar |
|---|---|
| Country | India |
| Abstract | College life has never been as challenging as it is today. Students are juggling through exams, homework, projects, internships and activities all at once. Although it is easier to find information through the internet, students still need to manage their own time by keeping track of their work. This leads to stress, burnouts, deadlines being missed and poor academic performance. Most time management techniques, such as calendars or to-do lists are only beneficial for simple management techniques. They are unable to adjust to the varying workloads of a student or provide intelligent suggestions based on academic requirements. Students are left to piece everything together on their own, which further leads to mental exhaustion. AI is beginning to make college life much simpler. AI can extract key information from college syllabuses and notices, provide intelligent suggestions for study materials, and even assist with automatic scheduling. Moreover, simple reminders and boosts of motivation at the right time have been demonstrated to help students stay on track and actually complete tasks. However, these solutions are usually developed independently and do not integrate well with each other. This paper examines existing AI solutions for academic productivity and points out their shortcomings. TrackWise, a system that integrates intelligent document reading, adaptive scheduling, and helpful nudges, is proposed based on the shortcomings of existing solutions. |
| Keywords | Agentic AI, Optical Character Recognition, Educational AI, Academic Scheduling, Behavioral Nudging, Time Management, Document Understanding. |
| Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
| Published In | Volume 17, Issue 1, January-March 2026 |
| Published On | 2026-03-06 |
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IJSAT DOI prefix is
10.71097/IJSAT
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