ITDS | SPMS

CHATBOT FOR UNIVERSITY OF ENERGY AND NATURAL RESOURCES

Project Description
Supervisor

Communication stands as a cornerstone of human existence, facilitating the exchange of messages, information, and emotions among individuals. Language serves as the conduit through which this communication process unfolds. Within the university milieu, effective communication is essential. Students, departments, and staff rely on clear and timely information exchange to address a myriad of needs. Nonetheless, conventional communication avenues may prove overwhelming or lack immediacy. This project proposes the development of a specialized chatbot tailored for university environments. This chatbot aims to bridge communication divides by providing a user-friendly and readily accessible platform for inquiries and assistance. Utilizing natural language processing (NLP), the chatbot will decipher user queries. It will boast a comprehensive knowledge repository comprising frequently asked questions (FAQs) spanning admissions, academics, financial aid, student life, and campus resources.

Artificial Intelligence: Artificial Intelligence (AI) research in Computer Science and Information Technology explores the development of systems and algorithms that can perform tasks typically requiring human intelligence. These tasks include problem-solving, decision-making, learning, perception, and language understanding. AI research is a vast and interdisciplinary field, encompassing a variety of areas such as machine learning, natural language processing, computer vision, robotics, and cognitive computing. Machine learning (ML) is a core component of AI research. It focuses on creating algorithms that allow computers to learn from data, improve over time, and make predictions or decisions without explicit programming. Subfields of ML include supervised learning, unsupervised learning, reinforcement learning, and deep learning, with applications ranging from image recognition to recommendation systems. Natural language processing (NLP) is another critical area within AI research. It aims to enable machines to understand, interpret, and respond to human language. Researchers in NLP work on tasks like speech recognition, language translation, and sentiment analysis, making it possible for computers to interact with humans in a more natural and intuitive way.