Hiba Zouita

"Developed an intelligent solution for task assignment management and project guide consultation assistance via a chatbot. " **Key Features Jira data preprocessing Embedding model and similarity learning Fine-tuning with QUATERION RAG (Retrieval-Augmented Generation) architecture

"Generation of MCQs from Data Extracted from PDF Files": This project was undertaken with the aim of developing an innovative and efficient solution for generating Multiple Choice Questionnaires (MCQs) from data extracted from PDF files. The objective is to automate and simplify the process of creating MCQs while exploiting the information contained in PDF documents in an intelligent way. **Technologies Used: Natural Language Processing (NLP). Models for generating other variants of a question -Techniques for extracting data from PDF. -Algorithms for generating questions and answers. -NLTK ,Spacy,Flair,T5-paraphrase

"Implementation of an Intelligent Processing Solution for PDF Financial Documents via NLP ": Our project aims to revolutionize the way financial documents are processed by harnessing the latest advancements in Natural Language Processing (NLP). The primary objective is to establish an automated solution that enables the comparison of two financial documents by intelligently extracting relevant data, identifying disparities, and allowing users to add annotations for in-depth analysis. **Key Features Precise Data Extraction: Using advanced NLP techniques -Automated Comparison: BERT -Custom Annotations -Fine-tune the model with financial vocabularies -Programming language: Python and its libraries

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