Popular GitHub Repositories for Pdfplumber

Collection of PDF parsing libraries like AI based docling, claude, openai, llama-vision, unstructured-io, and pdfminer, pymupdf, pdfplumber etc for efficient snapshot, text, table, and metadata extraction.

AI-powered legal chatbot that leverages Retrieval-Augmented Generation (RAG) with DeepSeek R1 for advanced legal reasoning and document analysis. It provides a sophisticated legal assistant that can process and analyze complex legal documents, retrieve relevant information using advanced vector search, and generate nuanced legal analysis.

Hia (Health Insights Agent) - AI Agent to analyze blood reports and provide detailed health insights.

Extracting details from Resume(CVs) and matching with Job Description(JDs) using pretrained model like DistilBERT and ranking them using cosine similarity.

NLP model for extracting chinese datas from the documents

MedXpert is an Android-based healthcare application that leverages OCR (Tesseract, pdfplumber) and LLMs (OpenAI GPT-3.5) to automate medical report extraction, abnormality detection, and natural language summarization. It features Firebase-powered user authentication, role-based access control, and real-time chatbot integration for medical queries.

A simple, interactive web application that lets you upload one or more PDF documents and chat with their contents in natural language. Powered by Streamlit, LangChain, and OpenAI (or any other supported LLM), your PDFs become conversational knowledge bases.

Interface developed to extract information from web through scraping and summarize given data.

AskDocs生成式AI

一款私密的文档问答应用程序，用户只需上传所需文档，即可就文档内容提出任何问题并获得答案。

This Project/Repo is created as part of the Upgrad's AI and ML PG from IIITB's Generative AI Module. Please note - No changes has been done to this project after this was submitted as part of the curriculum. Updates/enhancements will be done in V2 of this project.

A Question Answering(Q/A) Chatbot on Insurance Documents. Powered by Retrieval Augmented Generation(RAG). Inspired from my Upgrad_IIITB PG Course.

Build a local RAG (Retrieval Augmented Generation) to generate exam questions for the Google Cloud Platform professional Data Engineer certification.

RAG based Chatbot that simplifies what an insurance policy covers and does not cover. This helps patients understand their financial responsibilities at any time of their healthcare journey

Intelligent Document Assistant

This is the Flask-based backend for the Virtual Teaching Assistant platform

A Flask application that extracts invoice details from uploaded PDFs and images using LLM inference API