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pdf-data-extraction

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Web-Scrapper-Functions

Streamlit-based Python web scraper for text, images, and PDFs. User-friendly interface for quick data extraction from websites. Simplify your web scraping tasks effortlessly.

  • Updated Jan 15, 2026
  • Python

This repository contains the full project code for a Predictive Analysis of Productive Employment in Kenya. The repository contains the code for the data science project lifecycle from Business Understanding to Model Building and Evaluation (Colab Notebook) and Model Deployment (Flask, HTML)

  • Updated Mar 12, 2024
  • Jupyter Notebook

This GitHub repository hosts the notebooks and tools developed as part of this thesis to automate the extraction, processing, and analysis of data from the MICCAI 2023 conference, aiding in the systematic review and providing a structured foundation for further research in this crucial area.

  • Updated May 15, 2024
  • Jupyter Notebook

Benchmarked invoice and document extraction pipeline: PII redaction before any model call, layout-aware extraction into a strict schema, field-level confidence scoring, validation rules, a human review queue, and corrections fed back as exemplars. Runs offline, no API key.

  • Updated Jul 26, 2026
  • HTML

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