Text Summarization using NLP to fetch BBC News Article and summarize its text and also it includes custom article Summarization

Scholarcy, the online article summarizer tool, reads your research articles, reports and book chapters in seconds and breaks them down into bite-sized sections – so you can quickly assess how important any document is to your work.

This Python script allows you to interact with a GPT-3.5-turbo model by OpenAI to analyze and summarize articles from URLs. You can ask questions about the article, and the model will answer based on the content. The script uses the newspaper3k library to extract the article content and the OpenAI API to communicate with the GPT-3.5-turbo model.

Article Summarizer using the OpenAI [ Completion Class model ] API and the Streamlit library to create a simple web application that allows a user to input a scientific article and generate a summary of the article.

Extractive Text Summarization using Integrated TextRank and BM25+ Algorithm

A Python application that processes scientific papers in PDF format and generates detailed scientific analyses using AI models (OpenAI GPT or DeepSeek).

Scraping web sites (with Selenium) and summarizing them with sentiment analysis (using Transformers) + real-time flight scraping and json\csv search capabilities.