The Ramp project addresses the crucial need for representation and effective resource allocation by creating an open-source toolkit that leverages machine learning to map buildings using high-resolution satellite imagery. This initiative is particularly significant for planning and disaster management in the Global South, where it can help bridge the digital divide. By utilizing extensive training data and streamlined processes, Ramp enables GIS analysts and data scientists to efficiently extract building footprint data with minimal effort. The toolkit is adaptable for various applications, supporting local data ecosystems and humanitarian efforts, thereby addressing urgent needs such as digital microplanning and emergency response. Ultimately, Ramp aims to democratize access to advanced technologies, fostering more equitable resource distribution within communities, especially in health-related focus areas, emergencies, and others.