Our device aims to provide physical as well as mental stimulation in the largely isolated confines of our new COVID-19 reality.
Our solution uses edge ML model to detect if someone has coughed in area and allows cleaner to record the area has been cleaned.
A smart toilet that maintains a healthy environment analyzing air quality data using machine learning.
You can use ML tools from AWS and connect them to a Raspberry Pi to ID birds at your bird feeder.
Secure a future for endangered African elephants by a smart collar powered by Edge Impulse, Avnet IOT Connect and Helium Network.
Track faces and receive notifications in real-time using a Raspberry Pi 4, Intel Neural Compute Stick, and AWS.
Alexa-controlled LEDs using Particle Photon in multiple languages (English, Hindi, Marathi).
Would like to solve the problems of water scarcity and lack of farming techniques in developing nations through the use of IoT and AI.
„Alexa, who is at the door?“ - A face recognizing Arduino camera using AWS Rekognition for my grandmother
Find all your misplaced stuff with Amazon Alexa. Next time, you don't need to search entire house to locate your phone, remote etc!
I combine an Arduino camera, AWS Lambda and Rekognition, and an Amazon Echo to determine if I've left the washing on my clothes line!
Track breathing during sleep using AI as an early detection system for sleep apnea and other sleep breathing disorders.
Smart Cap is an assistant for visually impaired which narrates the description of scene.
An Amazon Alexa and Raspberry Pi project that allows a user to know who exactly is knocking at their door using facial recognition.
Use your Fitbit history to provide a recommendation on the best time of day to workout.