No description available

Alcon Financial Analysis: An interactive dashboard showcasing dynamic financial metrics, KPIs, and competitor comparisons. Powered by a RAG-based chatbot for real-time insights from financial reports and industry data, enabling data-driven decisions and strategic market positioning for Alcon.

A RAG-based chatbot for financial analysis of Microsoft, Apple, and Tesla.

Built a RAG-based financial analysis ChatBot using NIFTY 50 data, integrating LLaMA 2.0 for query handling. Applied NLP techniques to extract financial metrics and map related tables for context. Used BERT, TF-IDF, and cosine similarity for efficient retrieval from vector databases.

FinChat is a Gradio-based chatbot that combines RAG-powered financial education with real-time stock analysis. It uses FAISS + local LLM for answering finance concepts, and yfinance + TA indicators for stock insights with automated buy/sell decisions.

No description available

RAG-based chatbot for financial report analysis using LangChain, FAISS, and Groq LLM.

A RAG-based financial chatbot that provides detailed insights from financial documents (PDFs) using AI models for document parsing, embeddings, and conversational analysis

A RAG-based financial chatbot for India that provides personalized analysis. 🚀 Powered by Streamlit, LangChain, Google Gemini, and FAISS.

Streamlit-based conversational RAG Q&A chatbot providing real-time financial analysis of IPOs for startup companies using Vector Database.

You’ll learn: how to implement LLMs via APIs or locally using models like Llama, DeepSeek, ChatGPT, and Gemini; build AI agents for content generation, RAG-based chatbots, resume analysis, financial insights, personalized recommendations, and SQL-based data analysis; and create professional AI application interfaces using Streamlit.

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.

Built Nexus, a Retrieval-Augmented Generation (RAG) based enterprise chatbot for legal and internal company document analysis using LangChain, SentenceTransformers, and ChromaDB. Implemented PDF ingestion, semantic search, and LLM-powered clause extraction to enable intelligent querying of contracts, policies, and financial documents.