projects

The ability to describe an object in text or image and see it come to life in 3D form is empowering and revolutionary. Inspired by the origin story of Pixar Animation Studios, Can dedicated countless hours to mastering Unity, Unreal Engine, and Cinema 4D during his college years. Pixar’s journey, from its early days of bringing animated characters to life through computer graphics to becoming a powerhouse in animation, deeply resonated with him. By simplifying the process through text descriptions, we are democratizing creativity, opening up a world of possibilities for those who previously faced barriers to entry in the realm of digital creation.

Co:Sona, was born out of a desire to humanize large language models (LLMs), which we observed had become increasingly robotic and devoid of unique perspectives. We, Kelvin, Jacky, Kevin, Can, and Ganesh, sought to create a chatbot that could be tailored to any specific use case, capable of impersonating any character, figure, or model. We envisioned a platform where users could upload content to construct a unique persona for their tasks, thereby personalizing their interaction with the chatbot.

physyou is an asynchronous Telehealth platform for physical therapists to prescribe physical exercises, monitor the accuracy and completion rate of prescribed exercises. Patients can access the prescribed exercises and record their attempts in completing the exercise to verify the accuracy of their completed exercise.

COVID Analyst uses machine learning and spatial data analytics with a combination of reliable data sources and research publications to give you an address-level risk heatmap of COVID-19 in your area. In addition, it scrapes credible news outlets to give you a feed of news in your area and an AI-powered chatbot will answer any questions you may have about COVID-19.

PocketAnalyst is a Facebook messenger and Telegram chatbot that puts the brain of a financial analyst into your pockets, a buddy to help you navigate the investment world with the tap of your keyboard. Considering that two billion people around the world are unbanked, yet many of them have access to cell/smart phones, we see this as a big opportunity to push towards shaping the world into a more egalitarian future.

The device uses the existing smartphone camera in combination with a fundus/infrared camera module to capture a retinal image. This retinal image is used to predict the risk of diabetes and heart failure - two of the leading causes of death and disability worldwide. It can help patients take preventive steps before the disease progresses, thereby saving costs for the healthcare system, time for the healthcare worker, and valuable years of life for the patient.

Our team decided to take a step towards solving this problem by creating software that detects and then mutes advertisements from live TV video streams.