Tyhac is a multi-mode device made possible by deep learning and AWS. The stack stores and predicts covid-19 audio cough samples.
Automatic contact tracing using Bluetooth
Our solution uses edge ML model to detect if someone has coughed in area and allows cleaner to record the area has been cleaned.
At Akihabara Hackerspace, we have automated the ventilation process with CO2 monitors, a fan, AWS IoT Edukit, and IoT-related AWS Services.
A system that can measure environmental conditions and motion while sleeping, and create a sleep history and forecasting system.
Buddy collects temperature, humidity, light, human presence data, calculates productivity, helps break sedentary, built on AWS Edukit.
Tracking your movements can save your life.
An IoT controlled peer to peer network structured with AWS IoT EduKit and supervised by an admin app to help in search and rescue.
This solution provides an automated method of disinfecting meeting rooms after they are used.
Use the AWS IoT EduKit to create a device that can monitor Galvanic Skin Response, Microphone and Gyroscope data and send it to AWS cloud.
It is a device that assists in verifying body temperature information so that people can meet with ease at the Corona disaster.