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@article{177884,
        author = {Mukesh Ronuru and Mohammed Rahim and Vinay Kumar Reddy and Rampalli Jagan Mohan and S Saravana Kumar},
        title = {AI-Powered Student Assistance Chatbot},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {2000-2006},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177884},
        abstract = {In this new digital era, education has highlighted the need for efficient, accessible, and intelligent student assistance systems. The AI-powered student assistance chatbot is designed to bridge the communication gap between students and digital systems.
This chatbot utilizes Artificial Intelligence (AI) and Natural Language Processing (NLP) to deliver accurate and instant responses to student queries. It is developed using Python and Flask for the backend, with the integration of the OpenAI API to ensure precise and timely responses. Web frameworks are employed for the frontend to offer a seamless and user-friendly experience.
The AI-powered student assistance chatbot not only enhances student engagement but also significantly reduces the administrative workload.},
        keywords = {Administrative workload, AI-powered chatbot, Digital education, Flask, Natural Language Processing (NLP), OpenAI API, Python, Student assistance system, Student engagement, Web frameworks},
        month = {May},
        }