We propose a web platform that explains the NOVA food-processing classification system and provides an AI-powered tool that predicts the degree of processing for food products using Open Food Facts Canada data. Its main elements include clear educational content adapted from the "Guia Alimentar para a População Brasileira" and foundational NOVA publications on ultra-processed foods, an AI-generated FAQ, and a Python-based ML model that estimates processing levels for products lacking this information. The first milestone is to build the basic website in one day, followed in the subsequent weeks by data cleaning, feature engineering, model training, and integration of predictions and explanations. Resources required include a team of 4 students, a supervisor, computing resources (CPU/GPU optional), and the Open Food Facts dataset. Barriers may include incomplete product data, ambiguity in ingredient lists, and model performance constraints. The solution enhances digital education by turning a complex classification framework into an accessible AI-supported learning tool, and its success can be measured through user engagement, prediction accuracy, platform usage, and feedback on clarity and usefulness.