Create a fully automated ground station that will receive/decode NOAA weather satellite images and upload them to an AWS S3 website.
Sustainable platform of sensing and irrigation automation based around the Nordic's Thingy: 53 with predictive analysis.
Sustainable platform of sensing and irrigation automation based around the SenseCAP K1100 with predictive analysis via the Helium Network.
Air Quality Monitoring that uses the Intel Edison Compute Module, Amazon AWS, Visualization through Kibana, and drones!
Smart Greenhouse is a self regulating, micro-climate controlled environment for optimal plant growth.
Analyze your musician skills with this WiFi-connected maraca!
An IoT Logging and Fire detector employing the PSoC™ 6 62S2 Wi-Fi BT Pioneer Kit by Infineon and the Helium Network via LoRa.
Uses a Raspberry Pi and spare Legos to scan trading cards for price data.
Complete IoT and domotics platform that tracks the patient’s sleep via three main devices, displays the data and gives recommendations.
Maintain the recommended distance of 1 - 2 meters by means of a simple and fast implementation system without having high infrastructure cos
With QuickFeather and SensiML, through a neural network, which indicates the type of bird we are hearing.
Sustainable platform of sensing and irrigation automation with predictive analysis via the Helium Network.
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
Tyhac is a multi-mode device made possible by deep learning and AWS. The stack stores and predicts covid-19 audio cough samples.
Our solution uses edge ML model to detect if someone has coughed in area and allows cleaner to record the area has been cleaned.
DMHC is a mesh of devices, each one with a Heart Rate, Oxygen Saturation SpO2 and Temperature, (HOST) probe to capture values
Open-source Spirometry for ALL.
A smart toilet that maintains a healthy environment analyzing air quality data using machine learning.
In the COVID-19 pandemic, we need to make sure that the workspace in office are clean and sterilize before other people come to use them.
It detects Fruits and Vegetables and suggests recipes based on the detection.
You can use ML tools from AWS and connect them to a Raspberry Pi to ID birds at your bird feeder.
Easy to use, multifunctional wearable, that gives the first insight to your health condition. Minimalist design, feature rich & customizable
„Alexa, who is at the door?“ - A face recognizing Arduino camera using AWS Rekognition for my grandmother
