Aicha Ettriki

– Created guidelines and implemented an automated evaluation pipeline.

– Comparative evaluation of rules-based vs LLM-based approaches on clinical data, with detailed technical documentation.

– Structured and prepared validation datasets to ensure robustness and reproducibility of tests.

– Designed a chatbot using MySQL as a backend, incorporating data processing and analysis tools. – Implemented NLP techniques to identify relevant database tables. – Optimized TAPAS to improve question-answering capabilities and added microphone and translation features.

– Built a custom dataset by combining multiple sources, performed data preprocessing and label generation. – Developed a Python algorithm to detect potential image alterations using TensorFlow, OpenCV, and other tools, and evaluated its effectiveness (accuracy: 0.93).