International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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ByteGrind : The daily grind for coding mastery

Author(s) Mr. Abhishek Bhatia, Mr. Akshit Dagar, Mr. Anupam Vats, Mr. Nishant Sharma, Hemant Bhardwaj
Country India
Abstract ByteGrind is an AI-driven mobile application architected to bridge the gap between academic learning and the rigorous requirements of technical interviews. By leveraging Large Language Models (LLMs), specifically Google Gemini, the platform provides a structured and consistent approach to practicing Data Structures and Algorithms (DSA). The system integrates a React Native (Expo) frontend, a FastAPI backend, and a MongoDB database to deliver a seamless and scalable user experience. Its mobile-first design ensures accessibility while enabling students to engage in daily coding practice anytime and anywhere.
A key innovation of ByteGrind lies in its intelligent code evaluation mechanism, which goes beyond traditional test-case validation. The platform performs semantic analysis of user submissions, identifying logical flaws, edge-case failures, and inefficiencies in time and space complexity. Additionally, it offers AI-powered adaptive hints that guide users step-by-step without directly revealing solutions, thereby promoting deeper conceptual understanding. Gamification features such as daily goals, streak tracking, and personalized progress analytics further enhance user engagement and encourage consistent learning habits.




Experimental evaluation demonstrates that ByteGrind significantly improves user consistency and learning outcomes. Results indicate a 30–35% increase in daily practice frequency among users, along with high accuracy in real-time feedback generation. By combining modern mobile technologies with advanced AI capabilities, ByteGrind presents a scalable and effective solution for mastering DSA and preparing for technical interviews in a structured and engaging manner.
Keywords artifical intelligence , Data structures and Alogorithm , gemini
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-04-08
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E-ISSN 2582-2160
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