Popular GitHub Repositories for Pypdf2

This is a complete website in which you can chat with pdf, extract meta data, text, links, image, and lot more . Check my blog for more details: https://medium.com/@amit.2503719/allaboutpdf-tool-for-data-extraction-and-talking-to-pdf-using-chatpdf-feature-f2daea15a59c

This project is a generative AI chatbot that specializes in extracting and comprehending information from PDF documents. It allows users to upload multiple PDF files, trains on the content of those documents, and enables them to ask questions or make queries related to the PDFs' content.

Smart ATS evaluates resumes against job descriptions, providing match percentage, missing keywords, and improvement suggestions.

Provides a comprehensive solution for detecting plagiarism and finding similarities between text documents

A user-friendly application that allows users to upload PDF documents and receive concise summaries generated using advanced Large Language Models (LLMs).

NLP model for extracting chinese datas from the documents

An advanced Applicant Tracking System using Google's Gemini Pro for in-depth resume analysis, built with Streamlit for UI, PyPDF2 for PDF processing, and integrated with the Gemini Model API for cutting-edge capabilities.

This Python script builds a user-friendly ATS using Streamlit, Google's GenerativeAI, and PyPDF2. It evaluates uploaded resumes against a job description, ranking them based on match percentage and providing feedback on missing keywords and profile summaries.

We have built a Voice based Personal Assistant for people to access files hands free in their device using natural language processing.

GroqWarp is a Streamlit app that compares the performance of RAG using Groq and Ollama models, visualizing response times and accuracy. It leverages FAISS for document retrieval and displays a side-by-side performance chart.

Project - Artificial intelligence

Smart ATS Resume Analyzer is a Streamlit-based application that helps job seekers optimize their resumes for Applicant Tracking Systems (ATS). It evaluates resumes against job descriptions, providing a match score, identifying missing keywords, and offering personalized improvement suggestions using Google Gemini AI. ?

ML-Powered Research Assistant: A web application that processes PDF research documents, providing individual summaries, a comparative final summary, sentiment analysis, keyword extraction, and a RAG-powered chatbot for querying content. Built with a FastAPI backend and Next.js frontend, it leverages LLaMA and DistilBERT for NLP adv. capabilities.

巧用智慧课堂

A PDF Chatbot using Intel OpenVINO and RAG

RAG (Retrieval-Augmented Generation) to answer questions based on your PDF documents with accurate contextual responses.

Adaptive Learning Platform