GitHub - Aravindmax/RAG-AI-Chatbot-for-Edunet-Foundation: A chatbot is proposed for Edunet Foundation to handle repeated queries using an Excel-based FAQ dataset. It uses semantic matching to provide accurate, consistent answers and shows a default message if no match is found. The system can be integrated into the LMS to enhance support and reduce manual work.

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A chatbot is proposed for Edunet Foundation to handle repeated queries using an Excel-based FAQ dataset. It uses semantic matching to provide accurate, consistent answers and shows a default message if no match is found. The system can be integrated into the LMS to enhance support and reduce manual work.

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Project Title: AI-Based Helpdesk Chatbot for Edunet Foundation

Project Description:

To address repeated user queries at organizations like the Edunet Foundation, a chatbot system
is proposed that can automatically respond to frequently asked questions. The chatbot utilizes 
an Excel-based dataset containing categorized queries and their respective answers. By applying 
semantic similarity techniques, the system matches user inputs with the most relevant question 
in the dataset and provides accurate responses accordingly. It is designed to respond strictly 
based on the pre-defined data, ensuring consistency and reliability. In cases where user queries 
do not match any existing data, the chatbot returns a default fallback message. This helpdesk 
chatbot can be seamlessly integrated into the Learning Management System (LMS) website to enhance 
user support and reduce repetitive manual intervention.


Install these library before running the program and always try to run on google colab for
better computing performance.

!pip install python-dotenv
!pip install langchain_google_genai
!pip install langchain-community
!pip install langchain
!pip install langchain_huggingface
!pip install faiss-cpu
!pip install streamlit