https://github.com/hrishi-3000/constitution-article-matcher
Constitution Article Matcher application that helps users search and match text queries with relevant articles or amendments in a PDF of the Constitution. It uses Python and Tkinter for the GUI, and PyPDF2 for extracting and processing text from the PDF.
https://github.com/hrishi-3000/constitution-article-matcher
coding python tensorflow tkinter-gui
Last synced: about 2 months ago
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Constitution Article Matcher application that helps users search and match text queries with relevant articles or amendments in a PDF of the Constitution. It uses Python and Tkinter for the GUI, and PyPDF2 for extracting and processing text from the PDF.
- Host: GitHub
- URL: https://github.com/hrishi-3000/constitution-article-matcher
- Owner: Hrishi-3000
- License: mit
- Created: 2025-01-10T11:33:14.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-10T11:39:52.000Z (over 1 year ago)
- Last Synced: 2025-06-19T07:50:14.121Z (about 1 year ago)
- Topics: coding, python, tensorflow, tkinter-gui
- Language: Python
- Homepage:
- Size: 1.66 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Constitution Article Matcher
This project allows users to extract and match text against a Constitution PDF file, providing contextual matches for relevant articles or amendments.
## Features
- PDF text extraction with handling for unreadable content.
- Contextual matching with surrounding lines for relevance.
- Fuzzy matching to improve text-based searches.
- Intuitive GUI built with Tkinter.
## Requirements
Install the dependencies using:
```bash
pip install -r requirements.txt