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@article{171831,
        author = {V Pratheek and Trishal Ravish and Vineet S Havalad and Tilak R and Shruthi K.R},
        title = {BridgeLearn: Customized Syllabus and Interactive Tools For Effective Online Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {1071-1075},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171831},
        abstract = {In an era where digital transformation is reshaping education, the challenge of educational inequality remains a significant barrier for underprivileged students. This paper introduces BridgeLearn, an innovative artificial intelligence-powered platform designed to bridge this gap by providing accessible and engaging learning experiences. BridgeLearn leverages advanced AI models, including Meta's Llama 3-8B for intelligent tutoring, Flux for dynamic content generation, and LangSmith for workflow orchestration. The platform's architecture integrates React's frontend with Django's backend to create an adaptive learning environment. Key innovations include personalized learning pathways, AI-powered tutoring, and dynamic content generation. The research methodology involved extensive analysis of existing platforms, iterative development, and testing in real educational environments. Results demonstrate significant improvements in student engagement, comprehension, and reduced dropout rates.},
        keywords = {Adaptive Learning, Artificial Intelligence in Education, Educational Technology, Personalized Learning, Online Education},
        month = {January},
        }