Artificial Intelligence (AI) has emerged as one of the most revolutionary technologies in contemporary computing, particularly in the fields of education and software development. This review paper examines the implementation of Artificial Intelligence in the significant project \\\"CopilotX – Your AI Future,\\\" which is an AI- driven assistant intended to aid students and developers in coding, debugging, and educational tasks. The paper evaluates existing research on large language models (LLMs), natural language processing (NLP), and AI-based coding assistants. It contrasts current AI copilots with the proposed CopilotX system to discern their advantages and drawbacks. The study underscores challenges such as elevated API costs, insufficient personalization, and the absence of structured academic guidance in existing systems. CopilotX seeks to fill these voids by incorporating conversational AI, intelligent code review, and educational support features into a cohesive platform. The results suggest that AI-driven assistants considerably improve productivity, learning efficiency, and problem-solving skills. Prospective enhancements may encompass adaptive learning models, voice interaction, and domain-specific AI customization. Machine learning, Deep Learning, Neural networks, Natural Language Processing and knowledge base system of the Artificial intelligence Assistant.
Ali et al. (Thu,) studied this question.