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RAG-powered AI chatbot for CrediTrust Financial that transforms unstructured customer complaint data into actionable insights using semantic search and LLMs.

A RAG-powered AI chatbot for CrediTrust Financial to analyze customer complaints. Transforms unstructured feedback into actionable insights, helping product, support, and compliance teams quickly identify trends and issues.

Welcome to Coffee Chat! This Solar LLM-powered chatbot automates the analysis of financial and ESG data for small and medium-sized enterprises (SMEs), delivering actionable insights from unstructured business reports in real-time.

RAG-powered AI chatbot that turns unstructured complaint data into actionable insights for financial services.

This project builds an AI-powered chatbot for CreditTrust Financial that analyzes unstructured customer complaints using Retrieval-Augmented Generation .

Intelligent Complaint Analysis for Financial Services using a Retrieval-Augmented Generation (RAG) chatbot. This project transforms unstructured customer complaints into actionable insights using semantic search, vector databases, and large language models.

A Retrieval-Augmented Generation (RAG) powered chatbot that analyzes real customer complaint data for CrediTrust Financial. It turns unstructured feedback into actionable insights, helping product, support, and compliance teams identify issues faster and make data-driven decisions.

Week 6 submission for the 10 Academy Intelligent Complaint Analysis Challenge. Builds a modular RAG pipeline to turn unstructured customer complaints into actionable insights for financial services, using EDA, text chunking, FAISS-based semantic search, LLM summarization, and a Streamlit chatbot.