Document Search Engine Tool

Code for the paper "Efficient Adaption of Pretrained Transformers for Abstractive Summarization"

A python application for summarizing Slack threads

[NAACL2018] Entity Commonsense Representation for Neural Abstractive Summarization

[ACL2020] Unsupervised Opinion Summarization with Noising and Denoising

LoRA supervised fine-tuning, RLHF (PPO) and RAG with llama-3-8B on the TLDR summarization dataset

Summarize documents based on content extracted via Rosette API

Turn PDF into Notes in seconds📝

ClearClause: A Legal AI Assistant using Google Gemini API for QnA, summaries, translations, and semantic search across your legal documents.

Muisca: Modelo Unificado de Inteligencia Supervisada para la Computación y Aplicación. Una herramienta Streamlit para resumir y hacer preguntas sobre documentos en PDF y TXT utilizando modelos de lenguaje de última generación.

Persona-Driven Document Intelligence – A lightweight, CPU-only system that intelligently extracts and ranks document sections based on user persona and task context.

his is my own custom-built offline AI bot that lets you chat with PDFs and web pages using **local embeddings** and **local LLMs** like LLaMA 3. I built it step by step using LangChain, FAISS, HuggingFace, and Ollama — without relying on OpenAI or DeepSeek APIs anymore (they just kept failing or costing too much)

Document summarisation and query expansion

AI-powered tool that summarizes notes and documents into concise key points.

A software component that uses TF-IDF statistical analysis of the words in files to extract the 10 most important terms in a document and provide a short, 5 sentence summary.

Successfully developed a Multi-Source Knowledge Intelligence Agent - an advanced agentic AI application that integrates multi-format document and web data processing with LLM-powered analytics and conversational intelligence. It analyzes multi-source data (URL/files) with AI-driven insights, sentiment analysis, knowledge graphs, and chat interface.

If text is a graph, then summary is vertex cover of that graph.

AI-powered assistant for summarizing, querying, and evaluating research papers. Built with open-source NLP models.

Document Summarizer

Abstractive summarization model that peforms hierarchical supervision method that jointly performs summary and sentence-level supervision.