Text preprocessing, representation and visualization from zero to hero.

This project aims to help people implement tensorflow model pipelines quickly for different nlp tasks.

Effortlessly distill 20,000+ page legal and medical documents into concise, using Gemini 2.0 Flash Pro AI-powered summaries with our cutting-edge RAG system and NLP pipeline.

Natural Language Processing, or NLP, is the sub-field of AI that is focused on enabling computers to understand and process human languages.

A FastAPI-powered RAG pipeline that answers questions about France using smart search and LLMs like OpenAI or Together AI. Easy to run, with a clean UI and built-in tools for scraping, retrieval, and benchmarking.

pipeline and gui-tool for corpus analysis of 19th literary education

A comprehensive NLP pipeline for analysing and detecting fake news articles using advanced text processing techniques, sentiment analysis, topic modelling, and machine learning classification.

NLP4All is a learning platform for educational institutions to help students that are not in data-oriented fields to understand natural language processing techniques and applications.

Fine-tune with TEA

Taxonomic Entity Augmentation makes biomedical texts less repetitive

Fine-tune GPT-2 models on philosophers’ quotes with semantic tagging, metrics visualization, and an interactive UI to generate new philosophical quotes.

Categorize disater type based on text

NEV short for Named Entity Visualizer is a tool to visualize entities found in unstructured text built in Python.

This project serves as a comprehensive tool for collecting Hadiths from online sources, preprocessing the textual data, and extracting valuable insights using NLP methodologies. By combining web scraping techniques with advanced text processing algorithms, the project facilitates the analysis and understanding of Hadiths in a structured manner.

🧠 Meet AIDesktopAssistant – your intelligent desktop companion that understands natural language, launches apps, searches files, sets reminders, and more. Powered by custom intent classification and entity extraction models, it transforms your commands into real desktop actions with speed and accuracy. Built for productivity, tailored for personal

NLP pipeline (spacy.io) for PCU project

Lightweight plagiarism-detection system: upload documents, compare against each other or a pre-indexed corpus, and receive sentence-level similarity highlights.

Web App to classify diaster reponse messages into response categories

Practical NLP recipes and code snippets for tasks like tokenization, vectorization, and more.