Authors :
Kanchana M; Hirthick S; Shruthi M; Sundhareshwaran R; Disha S
Volume/Issue :
Volume 10 - 2025, Issue 4 - April
Google Scholar :
https://tinyurl.com/7eekjuwz
Scribd :
https://tinyurl.com/ykwzv2pb
DOI :
https://doi.org/10.38124/ijisrt/25apr1241
Google Scholar
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Abstract :
In today's digital world, content creators, businesses, and educators rely on high-quality visuals, but existing
design tools like Photoshop and Blender are expensive, complex, and require expertise. Freelancers, startups, students,
and educators with limited budgets struggle to access these tools, restricting their ability to create professional images.
While AI models like Stable Diffusion, DALL·E, and MidJourney offer solutions, they often require programming and
prompt engineering knowledge, making them difficult for non-experts. This project aims to develop a user-friendly,
prompt-based image generator that simplifies AI-powered design, enhances customization, reduces bias, and improves
usability. By allowing users to input simple text prompts, the AI will generate visually appealing and contextually relevant
images without requiring advanced design skills, increasing accessibility, affordability, and efficiency in visual content
creation. This project also aims to bridge the gap between creativity and technology, enabling users from various
backgrounds to generate high-quality visuals effortlessly. By integrating advanced deep learning techniques, the system
ensures optimized image generation with minimal latency. Additionally, the platform will provide customization options,
allowing users to refine their images based on style, color, and composition preferences. With a focus on inclusivity, this
tool will cater to freelancers, marketers, educators, and businesses, empowering them to create engaging content without
technical barriers.
Keywords :
AI, Automation, Creativity, Design, Customization, Usability, Accessibility, Technology.
References :
- S. J and P. R, “Advancements in AI-Driven Image Generation for Content Creation,” Journal of Artificial Intelligence Research, vol. 45, no. 2, pp. 78-92, 2022.
- W. R and T. L, “The Role of AI in Automating Digital Content Creation,” International Journal of Computer Vision & AI, vol. 39, no. 4, pp. 56-71, 2021.
- P and K. R, “Generative AI for Image Synthesis: Opportunities and Challenges,” Journal of Machine Learning & Digital Art, vol. 52, no. 1, pp. 45-63, 2023.
- T and E. M, “AI-Generated Imagery: Transformign Creative Industries Through Machine Learning,” International Journal of AI & Digital Media, vol. 40, no. 2, pp. 89-105, 2022.
In today's digital world, content creators, businesses, and educators rely on high-quality visuals, but existing
design tools like Photoshop and Blender are expensive, complex, and require expertise. Freelancers, startups, students,
and educators with limited budgets struggle to access these tools, restricting their ability to create professional images.
While AI models like Stable Diffusion, DALL·E, and MidJourney offer solutions, they often require programming and
prompt engineering knowledge, making them difficult for non-experts. This project aims to develop a user-friendly,
prompt-based image generator that simplifies AI-powered design, enhances customization, reduces bias, and improves
usability. By allowing users to input simple text prompts, the AI will generate visually appealing and contextually relevant
images without requiring advanced design skills, increasing accessibility, affordability, and efficiency in visual content
creation. This project also aims to bridge the gap between creativity and technology, enabling users from various
backgrounds to generate high-quality visuals effortlessly. By integrating advanced deep learning techniques, the system
ensures optimized image generation with minimal latency. Additionally, the platform will provide customization options,
allowing users to refine their images based on style, color, and composition preferences. With a focus on inclusivity, this
tool will cater to freelancers, marketers, educators, and businesses, empowering them to create engaging content without
technical barriers.
Keywords :
AI, Automation, Creativity, Design, Customization, Usability, Accessibility, Technology.