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@article{206761,
        author = {Abdul Khader Rayif and Shana Santhosh and Gowthami and M Pranamya and Muhammad Hafil},
        title = {Admit Genie},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {344-351},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206761},
        abstract = {This project aims to develop a college enquiry Chabot that answers any queries post by students like college details, course-related questions, location of the college, fee structure etc. The College Enquiry Chatbot project is built using machine learning algorithms that analyze user’s queries and understand the user's message. Chatbot systems have become increasingly popular for automating interactions with users and providing information in various domains, including college enquiries. This System is a web application that provides answers to the query. Any individual just has to query through the bot. The answers are appropriate to what the user queries. The User can query any college-related activities through the system. The user does not have to personally go to the college for enquiry. The System analyses the question and then answers to the user. Admission Enquiry Chatbot is an innovative artificial intelligence-powered solution designed to provide prospective students with instant and personalized responses to their admission-related queries. This chatbot leverages natural language processing and machine learning algorithms to understand and respond to user inputs, offering a user-friendly and efficient way to access admission information. By automating the admission enquiry process, the chatbot aims to enhance the overall applicant experience, reduce administrative burdens, and improve institutional responsiveness. The user can also give their suggestions through the suggestion box. The system replies using an effective Graphical User Interface which implies that as if a real person is talking to the user. The chatbot uses keyword matching to identify relevant information related to the user's query. The chatbot employs NLP to understand the context and intent behind the user's query. The chatbot has access to a knowledge graph that contains a vast amount of information related to the university, its programs, admission requirements, and more.},
        keywords = {.},
        month = {July},
        }