Pomodoro Timer is a small side project I created as to integrate easy to use online timer. This project leverages web development methods to provide Timer and TextToSpeech reminder.

Roles: UX Designer / Developer.
Technologies: HTML, CSS, jQuery / JavaScript.

One Remote, is touch screen remote which will allow to control any home/office devices using Machine Learning, Computer Vision and Cloud technologies to classify, switch and use infrared to control the device. We are also planning to add features like, Order Uber by just pointing at your door, Provide weather forecast by pointing at a window, et cetera. Main focus for now is to train the ML Model to recognize and classify different devices and brands.

Roles: Co-Founder.
Technologies: Infrared, Machine Learning, Computer Vision, Cloud.

AR Sudoku uses a combination of Computer Vision, Machine Learning, and Augmented Reality to give a magical user experience that “just works” ( i.e. solves the puzzel is real time ) when you point your phone at a Sudoku puzzle. One of the reason I choose to build this app was that I knew classifying digits is the "hello world" of machine learning. I wanted to dip my toe in the ocean of Machine Learning while working on a real-world problem.

Roles: iOS Developer.
Technologies: Swift, ARkit, Vision lib., MINST ML Model, Recursive algorithm to solve puzzle .

Epi Predictor, is a one of my personal & touching project. Epilepsy is a neurologic disorder causing uncontrollable seizure episodes. Over 65 million people live with the condition. Timely and accurate seizure prediction can help patients to take control of their lives.

EpiPredict is to integrate EEG handset technology (provided by Muse) to clasify and modal EEG data that signals a seizure and alarm the loved ones before the seizure takes palce. During our course research we found accurate EEG modals can predict seizures hours in advance.

Roles: Android / Backend / Deep Neural Network Model.
Technologies: rest-api, influxdb, tensorflow, keras, machine-learning, muse-headband, android-studio, java, python, json, iot, webapi.

Care Taker is a device that reminds and monitors daily precription intake and builds reports over a syncronized web-platform to strengthen Doctor-Patient communication. Our project recieved "Best use of IoT" award from Major League Hacking!

Roles: Build Backend - Frontend communication over server and hardware senors.
Technologies: Angular, CSS, NodeJS, JavaScript, Python and Dragonboard 410c.