The demand for poultry meat all over India today encourages to increase the number of farms to meet the consumption capacity of the country. On the other hand, the farm maintains an optimal ratio of female and male chickens to receive good profit and expand the farm's growth. As aresult,modern poultry farmers are now adopting various intelligent technology to make the gender identification of chickenseasy and fast. This paperuses a machine learning (ML) image classification approach to efficiently determine whether the chicken is a hen or a rooster. Further, the dataset wasinitially fitted to the primary image classification ML models and recorded the performance metrics. The convolutional neural network (CNN) model is later considered for investigating better performance than ML models. It is observed that among all the predicted accuracy values, CNN provides the highest accuracy value of 85%