Developing a TinyML solution for the Shipping Industry that allows users to track the status of a shipment/package in real time.

Predicting wellness based on user health detection in addition to environmental data using machine learning.

Listening to your favorite Podcast never been easier.

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.

Interconnection and implementation of external sensors for later use IoT applications deployments.

A smart toilet that maintains a healthy environment analyzing air quality data using machine learning.

It is a device that assists in verifying body temperature information so that people can meet with ease at the Corona disaster.

At Akihabara Hackerspace, we have automated the ventilation process with CO2 monitors, a fan, AWS IoT Edukit, and IoT-related AWS Services.

Monitor the temperature of several vaccine carrier cold box at large vaccination sites using AWS IOT EduKit and Sub 1-Ghz sensor network.

Desk Buddy is your electronic working from home companion

Buddy collects temperature, humidity, light, human presence data, calculates productivity, helps break sedentary, built on AWS Edukit.

Open-source Spirometry for ALL.

Tyhac is a multi-mode device made possible by deep learning and AWS. The stack stores and predicts covid-19 audio cough samples.

RoHA Project is an IoT based Sensor Node that analyze a persons respiratory health and report its status on device and web application.

A system that detects the opening and closing of doors and CO2 concentration to make the air in the room comfortable.

DMHC is a mesh of devices, each one with a Heart Rate, Oxygen Saturation SpO2 and Temperature, (HOST) probe to capture values

Father-son project to keep Office Rooms healthy by automating the cleaning tracking process using IoT, AWS and mobile Apps.

The air in your bedroom are important for a comfortable sleep. A fan is attached to the window of the bedroom and automatically controlled.

Care for elderly people, remind their medication, doctor appointment, and heart tests. Notify caregivers when something goes wrong.

Don't waste your time scrolling through repeated games, you have more important things to do in life.

A Robot which dances and guides with your medice schedule to cheer you up all day.

This Smart oximeter will be using the AWS IoT EduKit

Our solution uses edge ML model to detect if someone has coughed in area and allows cleaner to record the area has been cleaned.

Wearable temperature measuring device using AWS IoT-EduKit, It uploads data to AWS cloud and indicate LED bar with respect to temperature.