Sounds like a classic combinatorial design problem. Grab a linear‑programming library—Pulp or ortools in Python—define constraints for each room type, adjacency rules, and cost bounds, then let the solver give you a base layout. If the solver gets stuck, add a penalty for any violation and tweak the coefficients; it’s like adding a twist to a puzzle until the pieces fit. For quick visual feedback, export the solution to a simple CSV and plot it in Excel or a small Matplotlib grid—easy to tweak by hand. Keep the model lean; add constraints only when you actually need them, otherwise the solver will chew through 100 million possibilities for nothing. And remember: if the solver’s output looks like a mess, that’s probably because you’re feeding it too many contradictory constraints—clean up the rules first. Happy puzzling!