Developing a TinyML solution for the Shipping Industry that allows users to track the status of a shipment/package in real time.
SARAL (trans. "Simple"), which caters to the elderly, is an easy-to-manage device meeting their health monitoring requirements.
Monitor the temperature of several vaccine carrier cold box at large vaccination sites using AWS IOT EduKit and Sub 1-Ghz sensor network.
Listening to your favorite Podcast never been easier.
Wearable temperature measuring device using AWS IoT-EduKit, It uploads data to AWS cloud and indicate LED bar with respect to temperature.
To control the measures of safety regarding the Covid-19 guidelines and to maintain proper safety we building a Pandemic Smart System
RoHA Project is an IoT based Sensor Node that analyze a persons respiratory health and report its status on device and web application.
Father-son project to keep Office Rooms healthy by automating the cleaning tracking process using IoT, AWS and mobile Apps.
Care for elderly people, remind their medication, doctor appointment, and heart tests. Notify caregivers when something goes wrong.
What if... the challenge would be to escape the pandemic ?
Retailers have been struck hard by COVID-19. Stores had to take extra safety measures. My solution helps them follow government regulations.
Desk Buddy is your electronic working from home companion
Our device aims for people to get their mental and physical stimulation while being safe.
Our device aims to provide physical as well as mental stimulation in the largely isolated confines of our new COVID-19 reality.
All in one smart IoT dashboard for care home logistic and personnel management
Tyhac is a multi-mode device made possible by deep learning and AWS. The stack stores and predicts covid-19 audio cough samples.
Interconnection and implementation of external sensors for later use IoT applications deployments.
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.
Predicting wellness based on user health detection in addition to environmental data using machine learning.
Open-source Spirometry for ALL.
DMHC is a mesh of devices, each one with a Heart Rate, Oxygen Saturation SpO2 and Temperature, (HOST) probe to capture values
At Akihabara Hackerspace, we have automated the ventilation process with CO2 monitors, a fan, AWS IoT Edukit, and IoT-related AWS Services.
A smart toilet that maintains a healthy environment analyzing air quality data using machine learning.