Text Summarization on Spotify Podcast Transcripts for NLP class at @unibo

Text Summarization on Spotify Podcast Transcripts for NLP class at @unibo

News articles summraizer with HuggingFace and Gradio App

Implement an Intelligent Form Agent that can process and understand a wide variety of forms. It answers to questions related to individual forms, and generate holistic insights when analyzing multiple forms together.

This project is an implementation of text summarization using the **bart-large-cnn model**. It leverages Hugging Face's Transformers library to load the pre-trained model for generating summaries from input texts. The project also includes a user-friendly web interface built with **Streamlit**, allowing users to input text and easily generate summa

This project evaluates the performance of various models on summarization tasks

AI-powered video transcription and summarization using Hugging Face’s BART and OpenAI Whisper. Fast, accurate, and organized outputs.

VITAI: Latest Codex Editoris edition with Europe PMC API as a source, and local AI models for transparent, private scientific literature platform to accelerate mordern post-publication networking, impact metrics, and knowledge dissemination: https://vitai.theadimension.com/

Full stack web app that provides non-partisan AI generated summaries of news articles. Utilizes the NewsCatcher API for fetching articles and the Cloudflare Workers AI API for access to the bart-large-cnn.

Flask webapp using a language model to create summaries of YouTube videos.

AI research search engine. Uses RAG and cosine similarity to aid academic research.

This project is about designing a Feedback Analysis by using various NLP Techniques which is commonly used in Recommendations System, and Chatbots.

A full-stack text-summarization system built using FastAPI (backend), HuggingFace Transformers, and a Gradio UI for accessible interaction.

Readify: A Smart Extension that summarizes and reads out selected text using Hugging Face and Google TTS APIs.

Get a summary of OSF Preprints using the BART CNN

AI-Text-Summarizer is an agile, full-stack web application that provides concise, AI-generated summaries of long-form texts using the Hugging Face Inference API. Designed for simplicity and speed, it features a clean, responsive user interface built with plain HTML, CSS, and JavaScript, backed by a lightweight Node.js/Express server.

A production-ready, offline-first text and YouTube video summarization platform using open-source transformer models (BART, Pegasus, T5) with hierarchical map-reduce architecture, multi-model ensemble voting, and hallucination control.

Zero-shot classification with AI Agent workflow