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

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.

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.

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.

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/

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

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.

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

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

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

A Flask API for analyzing media files (video and audio) with various features including quality analysis, streaming readiness checks, and content analysis.

Get a summary of OSF Preprints using the BART CNN