Tagify produces a set of tags from a given source. Source can be either an HTML page, a Markdown document or a plain text. Supports English, Russian, Chinese, Hindi, Spanish, Arabic, Japanese, German, Hebrew, French and Korean languages.
OpnEco is a Python3 project developed to aid content writers throughout the content writing process. By content writers, for content writers.
Python-Backend for web-scrapping and NLP summarization
Keyword Extraction for PDFs
This is a project for automatic transcription of text and keywords extraction to help take notes in lectures and meetings.
A keyword extraction tool using KeyBERT. Project Rights: This project is the intellectual property of AIT and was developed within the context of the EU funded climate project MAIA+.
The keywords of biomedical materials are extracted with biomedical and clinical syntactic analysis and named entity recognition models offered in Stanza.
A dockerized application for performing sentiment analysis, tag recognition, and text summarization on YouTube videos.
Visual Intelligence is a desktop app that extracts text from images and PDFs in Turkish and English using Tesseract OCR. It offers advanced features like text summarization, keyword extraction, table and QR/barcode detection. The app has a modern, user-friendly interface built with TailwindCSS and Vanilla JS.
Artificial intelligence applications by Django framework (back-end) and bootstrap(front-end).
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