Python Location Scoring Engine

Build a Python-based location scoring engine to evaluate the commercial potential of any suburb or address for future milk tea store expansion. The project will use public datasets, geospatial analysis, and machine learning to create a reliable scoring model. You will develop the core logic, integrate relevant data sources, and deliver a scalable solution that can be used for ongoing location evaluation and decision support. *kmeans, randomforest.