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@article{177545,
author = {Sowndharya S and Ms.A.Gulshan Banu,Dr.P.Sumathi and Prathiksha R,Thayalini K and Vigneshwar K S},
title = {DREAM AI},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {11},
number = {12},
pages = {800-803},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=177545},
abstract = {Digital art creation is often inaccessible due to the technical expertise and costly software required, leaving many potential creators excluded. Dream AI addresses these challenges by providing an intuitive platform that enables users to create personalized artworks by seamlessly integrating a person into a photograph. Users upload a scene and a person’s image, provide simple text instructions (e.g., “place her by the tree”), and select styles such as realistic, surreal, or painterly. Leveraging Visual AI (Gemini API) for image analysis and Language Models (Mistral AI) for instruction processing, Dream AI ensures natural blending with precise lighting and shadows. Built with Vite React JS, Tailwind CSS, and Supabase, the platform is scalable, secure, and user-friendly for novices and professionals alike. User surveys indicate that 80% of users seek intuitive tools, and 65% cite time as a significant barrier to creativity. Dream AI reduces editing time to seconds, fostering inclusivity and enabling emotional storytelling through art. Integration with social media and art marketplaces enhances sharing and engagement, making creativity universally accessible. This paper explores Dream AI’s innovative design, technical implementation, and transformative impact on digital art creation, highlighting its role in democratizing artistic expression.},
keywords = {Dream AI, generative AI, digital art, photo editing, accessibility, Visual AI, Language Models},
month = {May},
}
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