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, Centro 2030. The grant is intended for students enrolled in non-degree courses or PhD students in the field of Chemical Engineering or related areas, holding a Master's degree in Chemical Engineering or
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-depth study of existing approaches to AI-based water leak detection and prediction, including classical methods and modern deep learning techniques. 2) Requirements survey Identification of the technical
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resource management. In-depth study of relevant ML algorithms (e.g., Decision Trees, KNN, XGBoost (Chen & Guestrin, 2016), SVM, MLP) and optimization methods. Requirements gathering and specification
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, and methods for generating synthetic conversational data. 2) Requirements survey: Detailed definition of the functional and technical requirements for the multi-agent system architecture, for the RAG