Learn Mate:-AI powered study assistant

DOI

https://www.doi.org/10.59256/indjcst.20260503090

Published In

Volume 5, Issue 3 (2026)

Published Online

September-December 2026

Pages

756-760

Article Type

Case Study

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In the modern educational environment, mobile learning applications provide students with flexible and convenient access to educational resources. However, maintaining student engagement, tracking learning progress, and evaluating knowledge effectively remain important challenges. This paper presents LearnMate, a mobile learning application developed using Flutter and Firebase technologies. The application provides a centralized platform where students can access lectures, track video progress, participate in quizzes, and earn experience points (XP) through learning activities. Learn Mate uses Firebase Authentication for user authentication and Cloud Firestore for storing and managing application data. The application is designed with learning progress tracking, quiz submissions, administrative grading, and leaderboard functionality. Video progress is recorded to help determine whether students have met the required viewing threshold before proceeding to associated quizzes. Quiz evaluation and reward allocation are designed to use trusted backend operations to improve data integrity and prevent unauthorized changes. The primary objective of LearnMate is to make digital learning more interactive, organized, and motivating. This paper describes the system design, major modules, development methodology, testing approach, limitations, and future enhancements of the application.