Tired of scrambling to take notes during lecture? Noteify can help.
HappiMe uses machine learning to help you better understand and monitor your mental health
A Machine Learning driven preventative eye convergence test in response to the inevitable passing of legislature
Get the soundtrack you need for the story you read.
EyeCare is an iOS App that utilizes computer vision, geometric computing to help Corneal Ulcer patients and doctors.
Robotic head created with Python and a Raspberry Pi that uses AWS for image recognition and text to speech output.
A robot therapist helps human recover mentally and physically. It learns dancing intelligently from videos.
Prevent seafood fraud & mislabelling: secured with Cryptocurrency & Machine Learning methods
43 days of every year is wasted waiting on the phone for customer service. We're here to fix this.
Bridging the gap between careful planning and spontaneity.
Facilitating smart dialogue between refugees and those that want to help
High-precision location detection with sound
An elegant solution for memory and visual impairment.
Content generator given a table of contents using Deep Learning and a Search similarity engine
Designed for people with visual impairments, LongDog utilizes ML to summarize the surrounding scene and answer verbal questions by analyzing the scenery, delivered through a delightful British voice
We developed artificially intelligent integrated threat detection systems that operate in real time to prevent crime and provide a quick response to threats.
COMMI empowering EVERYONE through universal communication
Scribbit is a modular digital scribe for handwritten notes built with Google Cloud's Computer Vision API.
Internal Navigation for public structures and buildings
Prediction of common diseases based on symptoms , location based emergency messaging, speech to text patient logs.
Uses AZURE ML Trained data sets to get data and fetch reults and the predictive model
A social-platform for the socially-lazy.
Snap a picture of a mole and check if you should see a doctor about it.
Structured categorization of medical images using radiology reports: building the next ImageNet for radiology