Chatbot for Personalized Student Assistance Using AI
Novshita A1, Srushti Rajesh Kaladagi2, and Ms .A Swetha Cordelia3
1 132, AECS Layout, ITPL Main Rd, Bangalore, Karnataka, India
2 CMR Institute of Technology, Kundanahalli, Marathahalli, 560037
Swetha.a@cmrit.ac.in
Abstract. Artificial Intelligence (AI) has become a required source for individualised and accessible learning in the rapidly digital field of edu-cation. The design structure and implementation of an AI-powered dig-ital chatbot to help students with individualised learning and under-stand and solve academic queries is presented in this work. The sug-gested system provides accurate, relevant advice on course materials, examinations, assignments, and academic information by using Natural Language Processing (NLP) techniques to include and react to student doubts in real-time. The chatbot provides flexible feedback and dynamic recommendations that adjust to each learner’s unique profile by merg-ing a machine-learning model with an appropriate, structured academic knowledge base. Python and Flask were used in the system’s base perfor-mance, and a back-end database was used to document user and system interactions as well as commonly asked queries. Compared to old, con-ventional common assistance systems, test results provide an upgraded response with high accuracy and fewer queries within a given time. The study highlights how AI chatbots may be smart, useful help in higher education, promoting independent learning and raising student satisfac-tion and engagement. It shows high accuracy, low response time, and high user satisfaction. The AI-powered chatbot provides better accu-racy, responses in real-time, improved sessions, customised support, and scalability. However, it encounters difficulties, including the requirement for sustainable living progress, a lot of complex data, and complicated problem-solving methods.
Keywords: Artificial Intelligence (AI), Chatbot, Natural Language Pro-cessing (NLP), Personalised Learning, Student Assistance, Educational Technology, Machine Learning, Virtual Tutor, Question Answering Sys-tem.
