Project at Lauzhack 2016
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Updated
Nov 20, 2016 - HTML
Project at Lauzhack 2016
OCR with javascript on web
Web app to match resume to job type, using nlp svm classifier model. Data via webscraping. Uploaded resume converted from PDF to text using OCR.
Data used or made up in an (successful) OCR attempt using kraken.
Hackpions – EY GDS Hackathon 2020
Repository for HackUMBC 2020 submission ( Winners of education track advanced) .A fully voice controlled website with OCR based feature to convert pdf to audio books along with speech to text feature for visually impaired people.
Serverless functions for OCR on Tencent Cloud.
A screenshot processing and searching software. Plugin keywords and search.
This system is totally based on providing text-based functionalities on a single platform. It is developed using NLTK, Python, Django, HTML, CSS, Bootstrap, OCR.
Mémoire de stage et annexes pour le Master 2 Technologies numériques appliquées à l'histoire (TNAH) de l'École nationale des chartes.
Image to text conversion using tesserocr
A complete end-to-end tool to process, store and visualize scanned documents.
Flask website integrated with Tesseract-OCR for reading multiple images, extracting text from them, and saving to Word, PDF, or txt file 🖼🡆🆎 [finished]
stanford surgery survey
Recognize text from image in javascript | Optical Character Recognition | OCR
2nd runnerup in UPES student chapter hackathon 2.0 solving the problem statement Optical Character Reading, Tumor Segmentation, Cancer Detection, and Classification
CSE204 Machine Learning Final project at Ecole Polytechnique
This library is built to support optical character recognition (OCR) from images provided as urls. The core is based on Tesseract, supporting over 100 national languages worldwide.
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