Innovative Product Recommendation System for Sustainable Artists: Leveraging Image Recognition and Natural Language Processing for Upcycled Creativity
Year: 2025
Type: conference-paper
Abstract: - The main aim of developing an Image-Based Product Recommendation System is to create a system for artists & craftsmen which consumes donated waste products. Artifacts like coconut shells or newspapers are identified by image recognition algorithms, which then outputs product ideas to the artists that would be unique within their respective realms. Incorporating computer vision, natural language processing, and a comprehensive upcycling products database, the system presents artistic or utilitarian creations to realize with accessible debris materials for sustainable art enthusiasts, experts as recycling compilation or creativity inspiration. It also helps the environment by allowing artists to recycle trash into valuable and artistic goods.
Authors: Ginu, Aleena, Chacko, Merin
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893123990
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