International Journal of Science, Engineering and TechnologyAuthors: Ayush Jaiswal, Ms. Vaishali Goswami
Abstract: This study focuses on developing a chatbot for a college website to enhance the user experience by automating responses to common inquiries, including FAQs, admissions, and student support. The backend uses Dialog flow, TensorFlow, and Python for NLP-based contextual intelligence, while the frontend uses HTML and CSS for smooth deployment. The system demonstrated the efficacy of AI-powered chatbots in enhancing accessibility, lowering workload, and offering ongoing support in academic settings with an 8.7/10 user satisfaction score and 91% response accuracy [1]– [5], [16].
