library supporting NLP and CV research on scientific papers

Multiple and Large PDF Documents Text Extraction.

The Privacy Firewall for LLMs

A boilerplate solution for processing image and PDF documents for regulated industries, with lineage and pipeline operations metadata services.

Official Python client library for Nutrient Document Web Services API - PDF processing, OCR, watermarking, and document manipulation with automatic Office format conversion

Python scripts that converts PDF files to text, splits them into chunks, and stores their vector representations using GPT4All embeddings in a Chroma DB. It also provides a script to query the Chroma DB for similarity search based on user input.

Local, privacy-friendly resume analysis: convert, classify, and get advice using TF‑IDF, Logistic Regression, and sentence-transformer embeddings.

LangGraphRAG: A terminal-based Retrieval-Augmented Generation system using LangGraph. Features include message history caching, query transformation, and vector database retrieval. Ideal for NLP researchers and developers working on advanced conversational AI and information retrieval systems.

A powerful, multi-modal Telegram bot leveraging cutting-edge AI technologies including Gemini, DeepSeek, OpenRouter, and 50+ AI models for comprehensive conversational assistance, media processing, and collaborative features with MCP (Model Context Protocol) integration.

📚 AI-Powered Book EPUB Knowledge Extractor & Summarizer Transform your PDF books into structured knowledge effortlessly! This tool leverages AI to analyze books page by page, extracting key insights, definitions, and concepts, and organizes them into Markdown summaries for easier study

An all-in-one GUI management toolkit built with PyQt6, offering a suite of tools for file synchronization, media organization, PDF merging, code formatting, and more.

Local RAG app with zero-config Docker setup. FastAPI + Streamlit + Qdrant + Ollama. Just run `docker-compose up --build`! 🚀

MistralOCR is an open-source application that transforms documents into structured data using Mistral AI's OCR capabilities. Built with FastAPI and Streamlit, it provides an intuitive interface for extracting and processing text from PDFs and images, making document digitization effortless and accurate.

A Python library for extracting tables from PDF documents using computer vision and image processing techniques. It converts PDF pages to images, detects tables, recognizes their structure, and outputs clean data in JSON format.

PdfSnipper is a lightweight and efficient Python package designed to simplify the management of PDF files, pages, and their conversions during various NLP, Computer Vision (CV), or other data processing tasks. The package eliminates the need for repetitive code by providing intuitive, ready-to-use functions for common PDF-related operations.

A powerful Retrieval Augmented Generation (RAG) application built with NVIDIA AI endpoints and Streamlit. This solution enables intelligent document analysis and question-answering using state-of-the-art language models, featuring multi-PDF processing, FAISS vector store integration, and advanced prompt engineering.

A side project to easily get and annotate questions and answers to the PsychometryBot project DB using computer vision and pdf parsing

This is some useful mini projects that I had worked for self-learning Python programming.

OllamaMulti-RAG 🚀 is a multimodal AI chat app combining Whisper AI for audio, LLaVA for images, and Chroma DB for PDFs, enhanced with Ollama and OpenAI API. 📄 Built for AI enthusiasts, it welcomes contributions—features, bug fixes, or optimizations—to advance practical multimodal AI research and development collaboratively.

A powerful Q&A system using Google's Gemini Pro API with vector storage (AstraDB) and LLM monitoring. Supports text, images, PDFs, DOCXs, URLs, and YouTube videos.