🧠 Multi-agent AI platform that extracts feature-level sentiment, detects emerging complaint trends, and surfaces prioritized recommendations from customer reviews. LangGraph + LLaMA 3.1 + React.

Designed and deployed an AI-powered sentiment analysis dashboard using Natural Language Processing and Machine Learning, enabling real-time review classification, model interpretability, and business insight generation.

Built a multi-domain Conversational AI system using LangChain, FAISS, Sentence Transformers, and Gemini LLM. The project leverages Retrieval-Augmented Generation (RAG) to analyze customer reviews and financial data, enabling context-aware question answering, semantic search, conversational memory, and intelligent insight generation.