<ul data-eligibleForWebStory="false"><li>The Sentinelle project is developing AI to predict avalanche risk in mountain areas for ski resorts and patrollers.</li><li>Machine Learning, specifically Random Forest, was chosen over Deep Learning due to its suitability for structured data with few features.</li><li>Random Forest was selected for its lightweight architecture, fast computation, and clarity in decision-making for field users.</li><li>The Machine Learning approach in this project is seen as a practical compromise between performance and usability.</li></ul>

Why we chose Machine Learning (Random Forest) over Deep Learning to predict avalanches

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