<ul><li>CONDUCTED LITERATURE REVIEW AND ANALYZED RESEARCH GAPS IN SHM TECHNIQUES</li><li>COLLECTED,PREPROCESSED, AND STRUCTURES DATA SETS(SENSOR DATA AND CONCRETE CRACK IMAGES) FOR MODEL DEVELOPMENT</li><li>IMPLEMENTED MACHINE LEARNING ALGORITHMS ( SVM,RANDOM FOREST,KNN) AND DEEP LEARNING MODELS (MOBILENETV2,RESNET50) FOR STRESS PREDICTION AND CRACK CLASSIFICATION</li><li>EVALUATED MODELS USING ACCURACY,PRECISION,RECALL,F1-SCORE AND DEVELOPED VISUALIZATIONS&nbsp;</li><li>COMPILED FINDINGS INTO A COMPREHENSIVE TECHNICAL REPORT</li></ul>