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@article{187255,
author = {Ishan Srivastav and Priyanshu Kumar Singh and Aditya Jaswal},
title = {BrillX: An Architecture for Dynamic Learning Paths},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {6},
pages = {4229-4239},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=187255},
abstract = {BrillX is a comprehensive Software-as-a-Service (SaaS) learning platform designed to revolutionize digital education through modern web technologies and artificial intelligence integration.[1] The platform integrates secure authentication, responsive frontend interfaces (HTML5, CSS3, JavaScript), and a robust backend powered by Node.js, Express.js, and MongoDB.[2][3] The system incorporates an AI-driven mentor powered by large language models, a PDF chatbot utilizing semantic embeddings and cosine similarity, and a dynamic quiz generation system leveraging prompt engineering.[4][5] The platform implements twelve key machine learning algorithms including Q-learning for content sequencing, Sentence Transformer embeddings for semantic matching, gradient boosting for performance prediction, and token-based streaming for real-time response delivery.[6][7] The architecture follows cloud-native SaaS principles with comprehensive security measures including AES-256 encryption, role-based access control, and WCAG 2.1 Level AA accessibility compliance.[1][2] Performance metrics demonstrate responsive user interfaces with sub-2-second page loads, AI mentor response latency of 1.2 seconds with 92% contextual accuracy, and PDF chatbot retrieval accuracy of 87%.[8] This research demonstrates the feasibility of integrating modern web technologies with AI capabilities to create production-grade adaptive learning systems addressing contemporary educational challenges.[1]},
keywords = {Adaptive Learning, Item Response Theory, Machine Learning, Educational Technology, SaaS Platform, Personalized Education, Artificial Intelligence, Accessibility, Intelligent Tutoring Systems},
month = {November},
}
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