PlatformAI Interior Design 1.2.0

This application, developed by platform.ai, is designed to assist in identifying design flaws within interior images of real estate properties. Users can either select a photo from their gallery or capture a new image using their device's camera, which is then uploaded to platform.ai’s servers for analysis. The system’s prediction APIs return an assessment highlighting potential design issues evident in the interior photograph.

platform.ai aims to democratize access to deep learning technology, enabling non-engineer professionals in the real estate and interior design domains to leverage advanced image recognition capabilities.

The platform facilitates the creation of high-quality labels through an intuitive, interactive interface that allows domain experts to train models efficiently. Jeremy Howard, the Chief Scientist at platform.ai, initially showcased this approach in a TEDx talk, where he demonstrated building a classification model within 15 minutes that correctly categorized over a million unlabeled data points with 99% accuracy—an achievement that previously required days or weeks. Our goal was to develop a user-friendly tool that empowers non-technical users to develop effective deep learning models with ease.