Etudiant : MRAIKH NOUHAILA

Filière : Master Web Intelligence et Sciences des Données (WISD)

Encadrant : Pr. SATORI KHALID

Annèe : 2026

Résumé : This internship report presents an analysis of avalanche risks using advanced Machine learning techniques and data processing. The project focused on predicting avalanches in the Savoie region by combining meteorological data and historical avalanche observations. Various prediction models, such as Random Forest and the XGBoost algorithm, were used to predict whether an avalanche will occur. Data processing played a crucial role, integrating parameters such as temperature, precipitation, snow depth, and wind speed. This work contributes to improving the management of natural hazards and safety in the face of avalanche dangers in mountainous regions.