International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 3 (May-June 2026) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

AI Art Gallery Exhibits the Work of Artists

Author(s) Ms. Ankitha S, Ms. Chandana S K, Ms. Nayana C B, Ms. Harshitha T M, Ms. Anitha H N
Country India
Abstract Artificial Intelligence has significantly transformed multiple industries, including creative arts and digital media. Traditional art galleries offer artists a chance to display their work, but they often face limitations due to geography, physical space, and accessibility. Many talented artists struggle to promote their work because of limited exhibition options and lack of digital support. To address these issues, this paper suggests an AI Art Gallery System that creates a digital platform for artists to showcase, manage, and promote their artworks globally. The proposed system combines Artificial Intelligence with web technologies to create an intelligent gallery environment where users can browse artworks, get personalized recommendations, and interact with artists. The platform includes features for uploading, categorizing, searching, filtering, and securely managing artworks. Modern frontend technologies, along with backend processing and database integration, provide scalability, security, and efficiency. The system aims to improve artist visibility, user engagement, and digital accessibility while offering opportunities for future integration with blockchain, NFTs, and smart recommendation engines.
Keywords Artificial Intelligence, Digital Art Gallery, Recommendation System, AI Generated Art, Web Application, Artist Promotion, Machine Learning, Database Management, Virtual Exhibition.
Field Computer Applications
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-27
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.79650

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