May 2016 Summaries

Classifi.me is an app designed to predict a user's Myers-Briggs (MBTI) personality type and assess their happiest photo and overall sentiment throughout the year by analyzing their photos and videos on social media. Developed by University of Central Florida students Isabella Moreira, Tyler Leonhardt, and Eric Smithson, the app uses a combination of APIs including Instagram, Clarifai, and uClassify to transform visual content into data that reveals insights about one's online persona versus real personality traits. The developers were inspired by the curiosity of whether social media accurately reflects users' personalities and built the app with a frontend of HTML/CSS/JS and a backend using Node.js with Express. Despite the challenges of handling vast amounts of raw data, the team found the process rewarding, especially using Clarifai's reliable tagging API, which greatly facilitated the data processing. The app is described as "scary accurate" and has successfully matched its predictions with results from traditional Myers-Briggs tests, even humorously determining the personality type of an office dog.

Asset Bank, a leading Digital Asset Management (DAM) solution developed by Bright Interactive, has integrated Clarifai’s visual recognition technology to enhance its offerings with automated image tagging, improving user experience and efficiency for its clients. Co-founder Martin Wilson aimed to incorporate artificial intelligence into Asset Bank to maintain its competitive edge in the market. The integration led to the development of two pilot applications: one embedded within Asset Bank for seamless image tagging via its REST API, and another standalone app, Quicktagger, designed to work with any DAM solution by allowing users to modify suggested tags. This strategic move not only reduces the manual effort associated with keywording images but also aligns with clients' specific needs through adaptable and personalized tagging, with plans to leverage Clarifai's custom training features for further personalization. Bright Interactive's approach emphasized rapid, cost-effective development, achieving market readiness for both apps in under a month, demonstrating the value of integrating advanced technologies while minimizing financial and technical debt.