The scientists investigate the mechanical characteristics of an epoxy-based biodegradable composite material reinforced with Al2O3 ultrafine particles and metal wires, and uses design of experiments (DOE) and simulation techniques to optimize its attributes. The Al2O3 nano powder was characterized by SEM and used in weight percentage of 0-5% to create composites with 50-100 nm nanoparticles. ANN models were trained on the resulting data to estimate the tensile strength and moisture absorbing behavior of the composite under different conditions, with mean absolute errors of 5% and 10% for the training and test sets respectively. The data demonstrate the effectiveness of computational learning in predicting the material properties of natural/jute composite materials and optimizing their design. Overall, this research paper provides valuable observation into the use of Al2O3 ultrafine nanoparticles and metal wire reinforcement for enhancing the overall material properties of biodegradable epoxy-based composites.