This paper introduces a computational frameworkfor evaluating structural properties ofthe undeciphered Indus script.The study usesa corpus of 6,579 inscriptions.The analyticalapproach combines unsupervised visual clusteringof sign morphology, entropy-based sequenceanalysis, Kullback-Leibler divergencecomparison, and neural sequence modeling(BiLSTM). The results indicate directionalasymmetry and structured combinatorial patternsin sign sequences. We conclude that theIndus sign sequences exhibit statistical propertiesconsistent with structured symbolic systemsand not easily explained by random generation.