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