Campus Connect - AI Powered Chatbot for Enhanced Student Engagement

Abstract

Chatbots as question-answering systems can help in solving the challenges in the education sector, which includes the need for personalized learning and managing educator workload. It assists students and faculties by providing instant, accurate responses to answering queries, and offering learning resources. By utilizing Meta Llama's powerful language models and context-aware algorithms, the chatbot adapts to various user inputs, understanding complex queries and responding in conversational and informative manner. LLM chatbots utilize Natural Language Processing (NLP) techniques to link related topics and provide accurate responses to complex queries. In this work, a Groq API key is created to access the services in Groq Cloud platform. It is mainly utilized for build chatbots by leveraging the Llama language model, as it provides a platform to access easily and utilize the power of Llama's large language capabilities with high processing speed due to Groq's specialized hardware, making it ideal for creating fast and responsive chatbots. This work demonstrates the potential of LLMs like Meta Llama in creating efficient, scalable conversational agents for academic and organizational use.