summarisation

A library for coreset algorithms, written in JAX for fast execution and GPU support.

Automatically modelling and distilling knowledge within AI. In other words, summarising the AI research firehose.

A sophisticated news processing pipeline that combines AI-powered content extraction, advanced NLP techniques, and interactive data visualizations to provide comprehensive news analysis across multiple categories.

A sophisticated news processing pipeline that combines AI-powered content extraction, advanced NLP techniques, and interactive data visualizations to provide comprehensive news analysis across multiple categories.

SumItUp is a platform that allows users to generate summaries from various types of content, including audio, images, videos, GIFs, URLs, PDFs and books. It provides users with quick and concise summaries to help them understand the content more efficiently.

Using a deep learning model that takes advantage of LSTM and a custom Attention layer, we create an algorithm that is able to train on reviews and existent summaries to churn out and generate brand new summaries of its own.

Large language model topic modelling / thematic summarisation of tabular open text data. Live demo: https://huggingface.co/spaces/seanpedrickcase/llm_topic_modelling

A TUI based AI-powered audio & video summarizer.

Material Science Predictor

Projects for students, that helps to work with lectures.

A Python events monitoring pipeline that uses web scraping, LLMs and email alerts to keep up to date with events in London.

Summarises the content of README files for any public GitHub repo

Stock enrichment API - real-time quotes, RSI, MACD, moving averages, and plain-English summaries in one call.

A Python news monitoring pipeline that uses web scraping, LLMs and optional email alerts to keep up to date with specific topics.

Fast, end-to-end local pipeline for meeting audio/video transcription and structured summary generation using faster-whisper and local Ollama LLMs.

A lightweight Python CLI tool that reads any PDF or TXT file and generates structured markdown notes — including a summary, key points, takeaways, and Q&A flashcards. Powered by LLaMA 3.3 running on Groq's free API. No GPU required.

?? AI-powered YouTube video summariser - paste a URL, get instant key points. No more watching full videos.

News pipeline for Australia - scrape, classify, and summarise news to 60 words