Smart Faq Chatbot System Using Nlp and Langchain for Educational Portals
DOI:
https://doi.org/10.64252/x8mgsv15Keywords:
Artificial Intelligence, Natural Language Processing, Chatbot, Large Language Models, GPT-3.5 Turbo, LangChain, FAISS, Streamlit, Retrieval-Augmented Generation, Educational Chatbot, PDF Text Extraction, Semantic Search, Student Query Resolution, Intelligent Virtual Assistant, Machine Learning.Abstract
This project presents the design and implementation of an AI-powered chatbot integrated into a college website to enhance communication and user support. The chatbot is developed to function as an intelligent virtual assistant capable of addressing frequently asked questions (FAQs) from students, parents, faculty, and other stakeholders. It utilizes natural language processing (NLP) and machine learning algorithms to understand user queries and provide accurate, context-aware responses. The system aims to offer immediate, 24/7 assistance on topics such as admissions, programs, campus facilities, and financial aid. Built using tools such as LangChain, OpenAI GPT-3.5 Turbo, and Streamlit, the chatbot dynamically processes data from PDF documents to maintain an up-to-date knowledge base. The integration of FAISS enhances information retrieval efficiency through semantic similarity search. This solution not only reduces the workload of administrative staff but also improves user experience by delivering consistent and instant responses.
