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for scientific publication. (8)https://genai.owasp.org/resource/owasp-top-10-for-llm-applications-2025/ (9)https://genai.owasp.org/resource/agentic-ai-threats-and-mitigations/ The work plan consists
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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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therapeutic interactions. Another valuable resource is the MEMO dataset[2], which provides transcripts of counselling sessions accompanied by clinical summaries, facilitating the creation of more concise and
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/negatives and resource consumption; iteration on results. The work will be carried out at the Laboratory for Informatics and Systems of Instituto Pedro Nunes (LIS), under the scientific supervision
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modules into the existing platform and participating in its validation. Among the most relevant public resources are the Open-Data dumps of Metadecidim [1], daily datasets of proposals and comments