The swift progression of Artificial Intelligence (AI) has had a profound impact on software development and programming education, permitting the formation of adept systems that aid programmers in producing effective and flaw-free code. However, there is a lack of personalized mentorship and real-time feedback in existing coding platforms, which are crucial for enhancing problem-solving abilities and interview preparation. This research solves this problem using the AI Driven Programming Mistake Analyser, an AI-based programming analyzer that offers users structured and mentoring support for learning and problem-solving.

Rule-based analysis, combined with basic AI techniques to check users’ submitted codes, leads to the system that is developed in Python. It generates the syntax, clarifies logical errors and offers suggestions for further improvements in the overall coding experience. The methodology includes designing a modular architecture for this purpose that receives input code, applies analysis algorithms, and gives meaningful feedback to the users in an interactive manner.