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 Retrieval-Augmented Generation (RAG) system that allows users to upload documents (PDFs) and ask natural language 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.

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.

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.

AI-powered study assistant with RAG, FAISS, Gemini, flashcards, quizzes, mind maps, and adaptive tutoring.

Modular RAG pipeline using LangChain + FAISS + Groq Llama3 — context-aware document Q&A with clean 7-module Python architecture

Among the Top 8 Projects in the CreatiVerse Rocketium Gen AI AWS Hackathon 2024

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.

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.

✅A Lightweight Video RAG Framework for Multimodal Reasoning

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.

Production-ready NLP & RAG platform for document understanding, semantic search, and grounded question answering.

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.

Built a production-ready RAG-based AI search engine with a Next.js frontend, FastAPI backend, and FAISS vector store; implemented a 10-step retrieval pipeline (query rewriting → embedding → ANN search → reranking → LLM generation) achieving sub-second cached responses.

Youtube transript QnA chatbot by using langchain fiass RAG that user asks the question about anything in the video and the llm gives the answer according to that.