Developed machine learning models to predict viral host specificity based on DNA sequences using state-of-the-art algorithms, including CNNs, RNNs, and Gradient Boosting. Pre-processed and analysed genomic data from diverse sources, achieving accurate classification into eight host classes. Contributed to advancements in virology, disease surveillance, and precision medicine, fostering interdisciplinary collaboration and generating valuable insights for public health and scientific research.