BiNSGPS introduces a novel framework for geometry problem solving that enhances the interaction between neural and symbolic methods, addressing limitations of existing approaches. By allowing feedback between a machine learning adviser and a symbolic solver, it aims to improve accuracy and adaptability in complex problem-solving scenarios.