We build solution for community level surveillance using drone based automation system
Fighting the spread of misinformation about COVID-19
The idea is to collect text and other datapoints from websites and compare them to the terms that we have already listed. The words and phrases we have are real trafficking terms
Visionary and auditory interface
This system uses CCTV camera (or) Surveillance Camera to get the travel and location history of the infected patient.
A secure, anonymized platform to prescreen for illnesses using machine learning
Use machine learning to find the perfect image and hashtags to reach a broader audience.
The following is an AI medical segmentation tool for detecting ground-glass, consolidaton and pleural effusion in patient lung CT scans. Measurements of these classes can enhance COVID-19 detection.
Smart contact tracing app using to reduce COVID-19 spread.
A search engine specifically curated for aspiring developers.
If you don't live under a rock, you must know that an important virus is spreading. As it is spreading, fake news also are. We propose a way to classify posts to know if we can thrust them or not.
Internet trolls seek to create chaos on social media spreading misinformation. For this issue, I worked on developing a deep learning model that detects if post/comment is from a troll or not.
DoF is a highly scalable dataset format which helps deep learning scientist to work with foreign and/or sensitive data. DoF provides fast dataset sharing and data-secure at the same time.
Earth Day, Everyday
DONT was developed to overcome pandemic of SARS-CoV-2 in the world. If you touch your face unconsciously, DONT will give you an alarm.
A machine learning tool to help organizations and law enforcement collaborate to track malicious vehicles from only the make and model of the vehicle
A real-time traffic prediction platform to allow stakeholders to optimize path of travel, utilizing Uber's data visualization technology stack with Miovision's and City of Windsor's data set.
In modern world scientist use lot of time to identificate genome and proteins when create cure. Our solution save time on this process by using neural networks and deep machine learning.
Getting donations quicker to the locations that were recently effected by Natural Disaster. Getting moeny to people in need quicker rather than later.
Visualize the current corona-outbreak in our area, region or country and simulate its spread in the nearest futures based on parameters that can potentially stem it.
WE PROVIDE: Innovative Access to Opportunities - To help navigating through complex and vast amounts of data! Fast Data Filtering and Selection - To find what you need within less than ten questions!
Die Übermittlungs-Kapazitäten der Gesundheitsämter sind überlastet, da die Melden-Daten manuell in die Software eingepflegt werden. Lösung: Einpflegung der Melden-Daten durch Künstliche Intelligenz.
Wir entwickeln ein Vorhersagemodel für Patientenzahlen auf Intensivstationen, um die Verteilung von medizinischen Ressourcen auf regionaler, nationaler und internationaler Ebene zu verbessern.
Support doctors diagnosis using AI.