OpenAI Assistants API:enables intelligent question-answering over custom document corpora, PDFs, text manuals, engineering files, simulating how field operators can query technical data in real time. Designed with scalable microservices principles, the system can be containerized with Docker.

This project automates the scraping of news articles from the United Daily News (UDN) website, filters and processes them using specified keywords and OpenAI's GPT for Named Entity Recognition (NER), and exports the categorized data into a CSV file.

Each project demonstrates a unique application of Large Language Models (LLMs), combining them with web scraping, custom tool calling, code translation, and retrieval-augmented generation (RAG) techniques. All projects feature interactive Gradio frontends, enabling real-time, user-friendly interaction with powerful AI backends.