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@article{176984,
        author = {Aryan Shyam Rathod and Akansha Sachin Chavan and Harshali Salunkhe and Kirankumar Reddy},
        title = {College Admission Enquiry Chatbot Using Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {243-250},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176984},
        abstract = {The college admission process can often be overwhelming for prospective students due to the abundance of information and the limited availability of staff to handle queries. To address this challenge, this paper proposes a College Admission Enquiry Chatbot powered by Machine Learning (ML) that can provide instant and accurate responses to frequently asked questions related to admissions. The chatbot is designed to simulate human-like interactions through both text and voice input, supporting multiple languages including English, Hindi, and Marathi, thereby ensuring inclusivity and accessibility.
The system utilizes Natural Language Processing (NLP) techniques for intent recognition and response generation. Key technologies include speech recognition for converting voice input to text, the Google Translate API for multilingual support, and gTTS (Google Text-to-Speech) for generating audio responses. A bag-of-words model and a simple neural network are used for intent classification and dialogue management. The chatbot is integrated into a Django-based web application, offering a user-friendly interface for interaction.
This solution aims to reduce response time, minimize administrative workload, and enhance user experience by delivering prompt and accurate admission-related information. The proposed system demonstrates potential for scalability and adaptability to different institutions and domains, making it a valuable tool in educational technology.},
        keywords = {College Admission, Chatbot, Machine Learning, Natural Language Processing (NLP), Intent Classification, Multilingual Chatbot, Speech Recognition, Google Translate API, gTTS, Django, Voice Assistant, Text-to-Speech, Educational Technology, Student Support System, Artificial Intelligence (AI)},
        month = {April},
        }