Abstract: This research delves into the development of digital art through the blending of artificial intelligence (AI), gesture detection, and automated precision software, and it does this in a futuristic manner through human- computer creativity. With conventional art converging with smart technology, this research looks at how artists are able to use hand movements to intuitively engage digital canvases, and AI enhances the work by fine- tuning shapes and composition in real-time. Through the use of computer vision and machine learning techniques, the system converts expressive human movement into organized yet tailored artwork, retaining the emotional richness of handwork together with the accuracy of electronic tools. Through qualitative analyses, such as user testing and prototyping, the study demotes enhancements in creative flow, ease of use for non-artists, and the future of collaborative human-AI co-creation. The research is in line with Human- Centered Design and Technological Augmentation theories, finally suggesting that AI can be a helper and creative collaborator in the creation of the next form of art.
Keywords: AI art, gesture recognition, digital painting, shape automation, human-AI collaboration, creative technology, computer vision, generative design.
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DOI:
10.17148/IJARCCE.2025.14617
