An experimental language model I trained from scratch, running offline on ESP32-S3 with a touchscreen chat interface.
Amateur's Guide: Comparing Vision AI MCUs on Ease & Speed
A TinyML model to predict the Lithium Ion battery's life cycle within shorter time using Edge Impulse.
Solar Harvesting LIC Powered vibration monitoring solution makes uses of embedded AI models to classify vibration anomalies for logistics.
A pocket-sized medical device based on TinyML application using Edge Impulse to predicts the Covid patient's health conditions.
This tinyML project aims to protect farms from pests and it also keeps updating the owner on climate and soil conditions.
This is a proof-of-concept project that demonstrates the use of TinyML and synthetic dataset for fire detection.
Measure the flow rate through a pipe and use machine learning to determine if a clog has formed.
Vision based technology using TinyML for plant leaf disease classification.
Automatic FOMO-based objects counting using computer vision and a web app.
Want to build your own TinyML image recognition application? This blog contains all the necessary details for you to get started
A TinyML keyword spotting application using Arduino Nano 33 BLE Sense to control gesture inferences of a bionic 3D printed hand
Use machine learning to build a system that can recognize audible events, particularly your name through audio classification.
FOMO in ESP32 CAM detected a potato beetle with the help of detection it will be possible to have statistics and take measures
This project can automatically classify three different musical genres (i.e., classical, metal, and reggae) from device-playing music files.
Fall detected, help connected—your safety, our priority
This tutorial shows the different ways how to perform an inference in AIfES®.
WAiT is a project that track the movement of wild animal at the application area, identify the animal class and report it on the webserver.
Identify leaks by using machine learning and a flowmeter to measure and classify the flow of liquid through a pipe.
Energy Usage Optimisation With IoT Assisted Machine Learning
Use the Sony Spresense with camera board and LTE board to detect potholes and then notify via MQTT the GPS location!
A vending machine with gesture controlled touch-free console using computer vision and TinyML with Raspberry-pi Zero W and Arduino Nano.
The neural network detects movements and directs the camera in the direction of movement and detects objects
