A new neuro-symbolic framework called NSPI combines LLMs and symbolic computation to improve the automated proving of polynomial inequalities, addressing scalability issues. This method enhances the process from conjecture generation to machine-checked proof, demonstrating effectiveness on complex polynomial benchmarks with up to 10 variables.