This paper solves the problem of finding a location to set upa factory/plant and using XAI to bring clarity in the functioning of machine learning models. The environment will be a grid with each cell having different characteristics. The goal would be to make sure the political, economic, environmental, and facility situations of the cell are ideal and it isthe minimum distance from nearby coal mines. Finding an ideal location would ensure that costs are reduced and profits are earned from setting up the factory. Applying the concept of XAI will ensure that there is visibility in how the model is performing and that the user experience is great.

Explainable Artificial Intelligence, Random Forest, Analytic Hierarchy Process, Hyper-parameter tuning