Article’s

The rapid growth of artificial intelligence has enabled the creation of highly advanced chatbots that significantly improve user interaction. This research introduces an AI-powered chatbot system designed for university students to address academic and administrative queries effectively. The system supports both voice and text interaction by integrating Google’s Speech-to-Text API along with traditional text-based communication. Using natural language processing (NLP) techniques such as tokenization, lemmatization, and part-of-speech tagging, the chatbot analyses user queries and identifies their intent by matching them with predefined responses stored in a JSON knowledge base.[1][4] Acting as a virtual assistant, the chatbot provides accurate, context-aware answers related to admissions, timetables, examination schedules, and other campus information. The model is flexible and can be adapted to different domains simply by updating the intent dataset. Experimental results demonstrate that the system improves response time, enhances user satisfaction, and offers a scalable solution for automated student support. Overall, this study highlights the transformative potential of AI-driven chatbot in educational environments for real-time and efficient query handling.