The increasing population and urbanization lead to reduced forest lands, leading to habitat loss and an increase in human-wildlife conflicts. One such significant issue is animal intrusion into the farmland which in turn results in damage and economic losses to farmers. Thus to provide a solution to this problem, the project proposes a non-lethal solution for controlling human–animal conflicts. In this project, the machine-learning method is used to simulate, finding the wild animals using pre-trained models. This simulation aims to identify animal movement and classify the animals accurately using image processing techniques. The model is tested in different conditions to check the accuracy of finding and provide reliable results. The outcomes well explains reducing the human–animal conflicts and support sustainable solutions and humane development.