A Question Answering(Q/A) Chatbot on Insurance Documents. Powered by Retrieval Augmented Generation(RAG), LlamaIndex and LangGraph. Inspired from my Upgrad_IIITB PG Course.
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Updated
Dec 12, 2024 - Jupyter Notebook
A Question Answering(Q/A) Chatbot on Insurance Documents. Powered by Retrieval Augmented Generation(RAG), LlamaIndex and LangGraph. Inspired from my Upgrad_IIITB PG Course.
A Question Answering(Q/A) Chatbot on Insurance Documents. Powered by Retrieval Augmented Generation(RAG), LlamaIndex and LangChain. Inspired from my Upgrad_IIITB PG Course.
A Question Answering(Q/A) Chatbot on Insurance Documents. Powered by Retrieval Augmented Generation(RAG). Inspired from my Upgrad_IIITB PG Course.
A Question Answering(Q/A) Chatbot on Insurance Documents. Powered by Retrieval Augmented Generation(RAG) and LlamaIndex. Inspired from my Upgrad_IIITB PG Course.
Tabaleu Dashboard/Story creation using Insurance dataset
Different regression explorations for different datasets
Prudential Life Insurance Assessment Prediction
This project explores the impact of demographic and lifestyle factors on insurance charges. Using statistical hypothesis testing (ANOVA, Chi-Square, T-tests) and predictive modeling (Elastic Net, Random Forest, Gradient Boosting). The analysis is deployed using Streamlit.
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