Hiba ROMANE

The subject of this internship involved developing an AI-driven project to rank and select candidate resumes intelligently based on job-offer similarity. The solution integrated advanced NLP techniques, including Named Entity Recognition (NER) models and large language models (LLMs). The project encompassed problem-solving strategies, web development using Django for the application interface, and various AI and data science methodologies.

This project focused on creating an advanced chatbot for sentiment analysis. This project utilized OpenAI API and Cody AI API and involved fine-tuning the BERT model to assess not only the polarity (positive or negative) of client inputs but also to identify specific types of sentiments.

In this project, a web application was developed to facilitate automatic translation using NLP. By employing advanced transformer models from Hugging Face, such as Marian, T5, and BART, the application enables intelligent bidirectional translation between English, French, and Arabic. This project not only enhances multilingual communication but also showcases the practical application of cutting-edge AI technologies in creating a user-friendly translation tool.

During the OCP Group internship, a desktop application was developed to manage candidate convocations. Built using the Electron.js framework, the application utilized HTML, CSS, Bootstrap, and JavaScript, along with some Node.js syntax for dependency management. This project aimed to streamline the recruitment process for OCP by automating the generation of convocations.