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Art Scene Disrupting the Market Through Inclusion


Art Scene (formerly AI Art Advisor), the next-generation art discovery and evaluation app, is disrupting the art market by combining cutting-edge technology with deep insights into art and aesthetics. Our proprietary "artistic quotient" machine learning system helps users discover their unique taste in art and navigate the art market with confidence. With Art Scene, collecting art is no longer limited to the elite few - our app is democratizing the market and making it accessible to everyone.



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Paint.wtf : Can Machines Truly Appreciate Art?

In recent years, the intersection of artificial intelligence (AI) and art has sparked fascinating discussions and debates. NFTs, many of which existed somewhere at the crossroad between human-made digital art and random generated AI assisted art, sold for vast sums of money. AI generated artworks

App Updates from December 2023 to April 2024

In November, Budget Collector's team was accepted to their first equity accelerator, NexCubed. During that time, we were focused on building an accessory tool to our app that fulfills our vision: "to build the interconnected technological framework for the entire art ecosystem." However, we made a

Dori Miller – The Intersections of Art & Science

This article explores a fascinating conversation with Dori Miller, an accomplished artist known for her profound artistry and the unique perspectives she brings to her work. Using her own experiences and insights, Miller takes us on a journey that seamlessly merges the realms of art,

Shattering Stereotypes

Artist Sheinina Lolita Raj, in collaboration with musician Nelly Furtado, offers a groundbreaking exploration of cultural identity and racial ambiguity through her project "Intercultural". Through visual and sound art, Raj challenges stereotypes, prompts us to question our preconceptions, and highlights the fluid, performative nature of

Appreciating Art through the Lens of Data Science

Team Splatoon's third installment explores the intricate process of tuning the Colorific algorithm for the Budget Collector dataset. Through the development of "truth" data, hyperparameter optimization, and the creation of an interactive time series visualization, they have made significant strides towards accurately representing the human