We aim to bring proper heart care to developing countries. An early detection of these pathologies its vital for an effective treatment.
Collect data such as step count, lost calories, temperature, etc.
Social distancing is a new way of life globally. Clip this device on ur belt and maintain social distancing.
Using a Tensorflow Lite Micro model this edge device keeps an ear out and vibrates if you are snoring.
GeekTurnik is the first WiFi-connected pull-up bar.
I made an Arduino library allowing simple communication with uECG device using nRF24 module - minimal example takes just a few lines.
A complex and easy to use IoT solution to monitor heart rate.
LED ring that blinks to your heart beats and displays current BPM both by number and color of illuminated LEDs.
We created an affordable, at-home kit to extend the life of masks so you can join the fight against the pandemic by helping your community.
Heart attack is killing over 375,000 Americans every year. and this project wants to stop this.
Wearable for monitoring the health condition of patients who have suffered or are in risk of having a cardiac arrest.
The values of t° sensors DS18B20, waterproofed DS18B20, AM2302 will be compared with micro:bit temperature sensor and standard thermometer.
A portable small device to verify anywhere the UV index in the sun rays.
A machine that consists of a face mask sanitiser (using UV LEDs), an automatic hand sanitising machine and an ARM MCU that checks vitals.
Environment Pollution Monitoring system using Internet of Things-IoT United International University.
Introduction how to use dust sensor with ESP8266.
Helping the visually impaired identify an object's colour discretely.
Collate weight, color, and emitted ionizing radiation of foods to train a NN. Then, run it on Beetle C3 to detect food irradiation doses.
A device that reads a bar code placed on the tube and, based on it, moving two step motors to place the tube in the correct position.
How to measure heart rate with an Arduino.
Using Ultra96 and NCS to detect and classify skin cancer.
CNNs on EEG readings help predict seizures with a wearable device. Patients can prepare for an event and reduce anxiety and side effects.
IoTbased patient health monitoring system using Arduino and generic ESP8266. The proposed project can collect and send patient’s health data
An interactive wall that helps senior people to stand up and exercise more.
