This work proposes the projection-tree reduced-order model for accelerating n-body computations. N-body problems arise in many applications including molecular dynamics, astrophysics, and electromagnetics, and their computational cost scales quadratically with the number of bodies. The proposed method combines hierarchical tree algorithms with projection-based model reduction to achieve significant computational speedups while maintaining high accuracy. We demonstrate the method's effectiveness on benchmark n-body problems.