Organizar extratos de noticias de arquivos pdf
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Updated
Oct 3, 2023 - Jupyter Notebook
Organizar extratos de noticias de arquivos pdf
Convert PDF into an audiobook.
This project facilitates the extraction of text from PDF files using various Python libraries. It is designed to be flexible, allowing the choice among different text extraction libraries and supporting both single PDF file and directory containing multiple PDF files.
To create knowledgegraph from pdfs
Scrapes hazardous waste data from a website and PDF file for PACT Act. Cleans the data to prepare it for mapping.
collecting data from the Barcelona City Hall Open Data Service's on socioeconomic indicators of the territorial division of the city of Barcelona
Extracting details from Resume(CVs) and matching with Job Description(JDs) using pretrained model like DistilBERT and ranking them using cosine similarity.
Chat/Query with your pdf, txt, csv, docs files, also from links of blogs.
Common Python PDF parsing utilities 📑
Interface developed to extract information from web through scraping and summarize given data.
web app to query Cosenza bus timetable
Extract text from certain pages of a pdf file and then inserting the text line by line into the table of an empty excel workbook
This is a resume screening web app. The user can upload a resume in PDF format. The app will go through all the text in the resume and find the best possible job role for the user among a set of roles.
This repository contains a Python script for comparing PDF files between a local source folder and a remote server. The script logs results, highlighting identical and non-identical files based on size and page count. It employs "pdfplumber" for PDF handling and "paramiko" for SSH connections.
Business objective- The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention
Extract PDF Text Content and Perform Hashing
Scrapes hazardous waste data from a website and PDF file. Cleans and analyzes the data. Prepares the data for mapping.
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