Gen-AI Based Chatbot on Top of Llama for SSR Documents

Gen-AI Based Chatbot on Top of Llama for SSR Documents

Devanshu Shekhawat#1, Anjali Mishra#2, Anjali Singh#3, Aaryan Singh#4

#1Department of Artificial Intelligence and Machine Learning, Mumbai University

#2Department of Artificial Intelligence and Machine Learning, Mumbai University

#3Department of Artificial Intelligence and Machine Learning, Mumbai University

#4 Department of Artificial Intelligence and Machine Learning, Mumbai University

Mumbai, India

1devanshu.shekhawat@universal.edu.in 2anjali_s.mishra@universal.edu.in 3anjali1.singh@universal.edu.in 4aaryan.singh@universal.edu.in

Abstract - Data Institutions generate vast amounts of information, making efficient access challenging. The proposed institutional chatbot integrates Llama, a conversational AI, into the institution’s website to provide real-time access to Self- Study Reports (SSR) and other documents. Using natural language processing (NLP), the chatbot streamlines communication, minimizes manual searches, and enhances transparency and accessibility. By leveraging machine learning, it interprets queries, retrieves relevant data, and generates human-like responses. A feedback loop ensures continuous learning, while Llama’s scalability enables accurate responses to complex queries. This AI-driven system modernizes institutional knowledge management and improves efficiency.

Keywords - Data Institutional chatbot, Llama, natural language processing (NLP), Self-Study Reports (SSR), machine learning, information retrieval, feedback loop, knowledge management.