This  project aims to develop a design studio web application that uses machine learning algorithms to assist graphic designers in creating more dynamic and personalized designs and collaborate the fields of graphic design, user interface creation, and artificial intelligence (AI) to advance the design process. By integrating Artificial Intelligence and machine learning techniques, this project seeks to empower designers with tools that can generate design suggestions like design elements, color schemes, or layout improvements, automate repetitive tasks, and provide personalized design recommendations based on user preferences and historical data. The project will also involve the development of an interactive software application that allows users to collaboratively design and customize graphics and User Interface elements, with AI-driven enhancements. Through this innovative approach, the project not only offers practical utility in design but also showcases the potential of Artificial Intelligence in transforming traditional creative processes into more efficient and personalized experiences. The AI-Aided Design Studio also begins with the incorporation of a sophisticated Image-to-Text generator that utilizes state-of-the-art machine learning algorithms. This generator enables designers to analyze and interpret visual elements, automatically extracting relevant textual data from images. This process not only expedites the initial phase of design research but also facilitates a seamless transition between the visual and textual aspects of the creative process.