During my internship at the Banque de France, I integrated web scraping techniques using Python scripts to retrieve relevant data, particularly from platforms utilizing ElasticSearch. This enabled the processing of large data volumes, essential for feeding AI models like those used in Retrieval Augmented Generation (RAG). Additionally, I explored NLP applications, including automatic speech recognition (ASR) for converting speech to text and optical character recognition (OCR) for text recognition. These efforts significantly enhanced the analytical capabilities and efficiency of automated processes within the organization. My primary automation tool was Selenium.