Authors: M.Benita Roy, L.Bhuvaneswar, K.V.Bharath Kumar, K.Vishnuvardhan
Abstract: The proliferation of digital content creation has created significant challenges for content creators, educators, and professionals who require efficient prompt engineering and AI-assisted content generation workflows. This paper proposes AI Prompt Helper, an intelligent system designed to optimize prompt construction, enhance content generation quality, and automate repetitive workflows for various AI applications. The proposed system integrates advanced natural language processing techniques, user-friendly interface design, and intelligent automation mechanisms to provide users with real-time suggestions, template management, and workflow optimization. The paper presents the system architecture, implementation details, performance evaluation, and practical use cases demonstrating the effectiveness of AI Prompt Helper in improving content generation productivity by up to 65% and reducing user cognitive load. Further, this paper provides insights into the system's design philosophy, technical implementation, and future research directions for intelligent prompt optimization systems.
International Journal of Science, Engineering and Technology