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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM58453
Volume:
10 |
3 |
Mar 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Today’s students rely on disparate, unintegrated digital tools for note-taking, scheduling, practice, and doubt resolution, resulting in significant time mismanagement, cognitive fragmentation, and sustained loss of motivation. This paper presents PrepSprint, a comprehensive AI-powered educational ecosystem designed to unify intelligent exam planning, automated content processing, and sustained gamification into a single platform. PrepSprint leverages Optical Character Recognition (OCR) and Natural Language Processing (NLP) to automatically convert handwritten and digital notes into interactive learning materials including multiple-choice questions, flashcards, and case studies. The system employs sophisticated spaced repetition algorithms (Leitner System and SuperMemo) to dynamically optimize revision schedules based on exam deadlines and topic complexity. Sustained engagement is achieved through integrated gamification mechanisms including XP points, streak tracking, peer-based leaderboards, and daily micro-challenges. Real-time academic support is provided through a contextually-aware AI chatbot powered by large language models. Pilot testing conducted with 100 students over 4 weeks demonstrates significant improvements: study retention increased from 60% to 82%, engagement levels improved by 60%, daily active user rate reached 78%, and 30-day retention rate was 82%, with a user satisfaction rating of 4.7/5.0 stars. The integrated architecture eliminates the need for 5+ separate applications, saving students 10-15 hours monthly. This paper presents the system architecture, implementation details, technical results, and validation data demonstrating PrepSprint’s effectiveness as a transformative educational technology platform.
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Publication Date
3/28/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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