A web app that allows users to upload PDFs and interact with them through a Q&A interface. The application extracts text from PDFs, generates embeddings, stores them in a FAISS database, and retrieves relevant information to provide context-aware answers using a large language model .

This system functions as a domain-specific autonomous AI agent, using agent orchestration frameworks capable of contextual reasoning across multiple books, multimodal inputs and memory driven personalized learning.

PDFy lets you upload PDFs, extract text, and ask questions using AI. Built with FastAPI, LangChain, Ollama, and FAISS for powerful vector search and LLM-based answers. React frontend offers smooth upload and chat-style Q&A for easy PDF interaction.

A simple utility for diffing PDFs.

PathFinder is a job recommendation web application that allows users to upload their social media activity documents (such as LinkedIn data exports in PDF format) and receive personalized job suggestions.

A test series generator for JEE-Mains using RAG and LLM

It is a Full stack web application where user can upload pdf document and ask questions related to its content.