This paper introduces "SeamCarver," a LLM-enhanced method that redefines image resizing . SeamCarver addresses the limitations of traditional seam carving with static pre-defined parameters, it uses LLM to achieve dynamic and user-controlled AI-resizing of images. We also evaluate the performance of SeamCarver on different datasets.The inclusion of LLMs in this research facilitates dynamic optimization of parameter tuning and adaptive energy function adjustments, enhancing overall robustness and efficiency of image resizing. SeamCarver emerges as a transformative tool, offering versatile, high-quality resized images.