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AI For Search and Rescue
Machine learning models achieving 80%+ accuracy in predicting missing person patterns to aid search and rescue operations.
80%+pattern recognition accuracy
2conference presentations
PythonScikit-learnK-meansKNNSVMData AnalysisPandas
About the Project
Led the development of machine learning models for the AI For Search and Rescue research project at Cal Poly. Trained K-means, KNN, and SVM models on historical search and rescue data to identify patterns in missing person cases. The models help predict likely search areas and optimize response strategies, potentially saving lives through faster, more targeted search operations. Presented findings at the Missing Persons Conference in Las Vegas twice.
Impact
Research presented at Missing Persons Conference (Las Vegas) twice