Abstract
In recent years, the application of Python programming language in developing web services has gained significant attention, with FASTAPI emerging as a prominent framework for its rapid development and efficient performance. This paper delves into the realm of model algorithm research, leveraging the capabilities of Python's FASTAPI framework. Through this study, we explore the integration of advanced algorithms within the context of web-based applications. By focusing on the seamless amalgamation of algorithmic processes with FASTAPI's structure, we aim to demonstrate the feasibility and advantages of utilizing this combination in various research and practical scenarios. Coupled with illustrative examples, this paper highlights the potential of Python FASTAPI as a robust platform for driving model algorithm research across diverse domains.