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This research paper presents an advanced LinkedIn post generator that utilizes cutting-edge Language Models (LLMs) to discern user intent and generate contextually relevant content. The system meticulously analyzes user input to craft professional and engaging LinkedIn posts. This tool has signifi- cant potential for individuals and businesses seeking to enhance content creation and maintain a consistent social media presence. Our paper encompasses natural language processing techniques, prompt engineering, and a user-friendly interface design. It includes an explicit content filter to ensure the production of appropriate and professional content in line with LinkedIn's standards. This paper provides a comprehensive overview of our development process, technology stack, user intent recognition methodology, and user interface design. We also discuss the practical applications, benefits, and implications of …