LLM-powered financial analyst using LoRA-tuned Llama-3 and RAG pipeline to answer complex queries over SEC 10-K filings with contextual accuracy.
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Updated
Feb 9, 2025 - Jupyter Notebook
LLM-powered financial analyst using LoRA-tuned Llama-3 and RAG pipeline to answer complex queries over SEC 10-K filings with contextual accuracy.
Flask application for Diversified Investment Portfolio Builder based on User Defined Risk Factors
Nous: A privacy-focused personal knowledge assistant using local LLMs to securely interact with your documents and enhance information retrieval.
An AI-powered RAG system that allows users to upload documents and ask simple plain text questions.
An AI-powered medical consultation system that provides evidence-based medication guidance using Retrieval-Augmented Generation (RAG) with comprehensive medical literature and drug interaction analysis.
DrillSense — AI-powered visual intelligence system for drilling operations. Combines SFT & RAG to summarize drilling reports, answer domain-specific queries, and generate anomaly alerts.Built with React + Tailwind and FastAPI, deployed across Vercel and GCP with a Vertex AI–trained model for real-time insights.
ParmaQA.ai is an advanced QA system that combines a Retrieval-Augmented Generation (RAG) pipeline with LangChain, FAISS, and FastAPI to deliver accurate answers. It features an efficient backend for processing queries and a user-friendly frontend for seamless interaction.
PAYANA – AI Travel Planner Developed a RAG-based travel planning system using Flask and FAISS to generate personalized, budget-aware Karnataka itineraries. Integrated external embedding APIs and LLMs to produce structured, day-wise travel plans with real-time destination images.
Modular RAG pipeline using LangChain + FAISS + Groq Llama3 — context-aware document Q&A with clean 7-module Python architecture
Meowtron is a lightweight offline AI system with a sarcastic, cat-like personality. It detects emotions, retrieves memories, and generates personality-based responses using multiple small models.
Among the Top 8 Projects in the CreatiVerse Rocketium Gen AI AWS Hackathon 2024
AI-powered Enterprise Document Intelligence Platform using RAG, Gemini AI, LangChain and FAISS.
EDUvision is the next evolution of SEBA, expanding the Al tutor into a comprehensive smart education platform with personalized learning, analytics, attendance management, and intelligent educational services.
✅A Lightweight Video RAG Framework for Multimodal Reasoning
Production-ready NLP & RAG platform for document understanding, semantic search, and grounded question answering.
An intelligent chatbot that allows users to upload text-based Ayurveda PDFs and ask questions based on the content using RAG (Retrieval-Augmented Generation) combining semantic search and LLM-based responses.
An AI-powered job hunting agent that autonomously analyzes job descriptions, matches resumes, generates customized cover letters, and controls application decisions using LangGraph workflows, LangChain orchestration, and LangSmith monitoring, powered by open-source LLMs via Ollama.
TalentRAG AI is a lightweight Retrieval-Augmented Generation (RAG) system designed to enable intelligent querying over structured enterprise data. The solution transforms traditional SQL-based datasets into semantically searchable knowledge using vector embeddings and AI-driven reasoning.
Converts PDF documents into vector embeddings and stores them in a FAISS vector database. Implements a conditional LangGraph workflow that intelligently routes queries either to the LLM directly or through Retrieval-Augmented Generation (RAG) based on the query type.
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