Mohammad Mahdi Abootorabi

Health Information Retrieval System An advanced search engine designed for efficient retrieval and organization of health and medical-related content. It uses techniques like Boolean search, TF-IDF, FastText, Transformers, and Elasticsearch models. The system features a user-friendly interface and can be deployed on online servers.	Automated Resume Parser A Python package, designed as an automated resume parser, extracts valuable information from multiple CVs and stores it in a CSV file. Currently supporting Persian CVs, it enhances Applicant Tracking Systems’ review capabilities.
News Classification, Summarization, & QA System This project is a comprehensive system for Persian news analysis, equally focusing on classification, question answering, and summarization. It classifies articles using TF-IDF and transformer models, generates relevant questions and answers, and provides fine-tuned summarization of news content.	Bias detection & De‐biasing in Language Models This project focuses on the detection and mitigation of various biases, such as gender and ethnic biases, in diverse language models, including those for multiple languages and multilingual models. A significant aspect of the project is the development of de-biasing techniques specifically tailored for Persian language models.