How to apply a TinyML approach to prevent electrical grid overloads.

Classify your tomatoes into Grade A, Grade B and Grade C with TensorFlow Lite and Particle Argon.

Start a $3.2 billion company by building your own learning thermostat with the Spark Core.

Have you ever imagined a house able to interact with its residents encouraging them to improve their habits, increase quality of life?

The unit developed here makes your appliances like TV, amplifier, CD and DVD players control with voice commands using Alexa and Arduino.

A SparkFun Artemis powered urban quality monitoring system with IoT capability and TensorFlow Lite based machine learning implementation.

Alexa-controlled LEDs using Particle Photon in multiple languages (English, Hindi, Marathi).

Using Edge Impulse for environmental sensing to estimate anomalies in logged data to meet storage conditions for Covid vaccine supply chain.

A smart traffic light focusing on computer vision and IoT to reduce traffic congestion in urban areas, while ensuring pedestrian safety

My iRobot got fried when it got wet from rain coming in the window..I HACKED IT using Particle, STM32 dev board and Adacore

Training a model and then we ask the user through a GUI to enter a new x-ray image to make a prediction.

Many people come home and might want to hear some activity in their or house or they want to have some home automation to save time.

Making outdoor Forestation easy for everyone using Machine Learning on Edge using SensiML and capabilities of the Particle Cloud.