Evaluating and Comparing Artificial Intelligence Tools in Solving Mathematical Problems

This paper involves identifying and gathering AI-based applications that are most applicable to solving mathematical problems. We select a diverse set of mathematical problems that vary in complexity. Each tool is then utilized to solve the problems, with detailed documentation of the solutions. Execution time and complexity are analyzed based on memory usage and CPU consumption. Finally, the results are compared to identify the strengths and weaknesses of each tool, guiding users in selecting the most suitable option for their needs. The comparison shows that while ChatGPT achieves the highest accuracy at ۹۹.۸% and uses fewer resources, tools like Wolfram Alpha offer higher accuracy but require more computing power, whereas Photomath consumes minimal resources but has lower accuracy. The choice of tool depends on the user's specific priorities such as accuracy, speed, or resource efficiency.

Keywords:

Artificial Intelligence , Test , AI-based Application , Mathematic