Laughtrick

Laughtrick

Laughtrick is an android application that makes people laugh

Artificial Intelligence, Android

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Description

It contains sounds, Emoji's and Faces just to lighten people's mood.

Peter ma

Peter M. added photos to project Clean Water AI

Medium f78e4443 9bb7 44f4 8aa1 8717220a2361

Clean Water AI

According to World Health Organization over 2 billion people are affected by contaminated water. Contaminated water contributes to spreading of disease and health issues such as cholera, diarrhoea, dysentery, typhoid, and polio. Contaminated water contributes to over 500,000 diarrhoeal deaths each year.

Using the Intel Movidius Neural Compute stick, and an off the shelf microscope we have created Clean Water AI. Our AI is trained to detect water contaminants and able to detect if water is clean and drinkable vs contaminated and a potential health risk. The neural network model was trained using the Caffe Framework powered by Intel's DevCloud service, and we used NodeJS for the front end website.

The total solution is priced around $500 US dollars, using an inexpensive microscope, a laptop capable of running Unbuntu, and the Intel Movidius Neural Compute Stick. Going forward we plan to build the entire solution into a single IoT device and place them around water sources around the world

Peter ma

Peter M. added photos to project Clean Water AI

Medium e44cc2c1 814f 4226 90b5 f1ae96eb8b60

Clean Water AI

According to World Health Organization over 2 billion people are affected by contaminated water. Contaminated water contributes to spreading of disease and health issues such as cholera, diarrhoea, dysentery, typhoid, and polio. Contaminated water contributes to over 500,000 diarrhoeal deaths each year.

Using the Intel Movidius Neural Compute stick, and an off the shelf microscope we have created Clean Water AI. Our AI is trained to detect water contaminants and able to detect if water is clean and drinkable vs contaminated and a potential health risk. The neural network model was trained using the Caffe Framework powered by Intel's DevCloud service, and we used NodeJS for the front end website.

The total solution is priced around $500 US dollars, using an inexpensive microscope, a laptop capable of running Unbuntu, and the Intel Movidius Neural Compute Stick. Going forward we plan to build the entire solution into a single IoT device and place them around water sources around the world

Peter ma

Peter M. added photos to project Clean Water AI

Medium 95380c49 49e2 4a7e a7a3 ef6ffef12bca

Clean Water AI

According to World Health Organization over 2 billion people are affected by contaminated water. Contaminated water contributes to spreading of disease and health issues such as cholera, diarrhoea, dysentery, typhoid, and polio. Contaminated water contributes to over 500,000 diarrhoeal deaths each year.

Using the Intel Movidius Neural Compute stick, and an off the shelf microscope we have created Clean Water AI. Our AI is trained to detect water contaminants and able to detect if water is clean and drinkable vs contaminated and a potential health risk. The neural network model was trained using the Caffe Framework powered by Intel's DevCloud service, and we used NodeJS for the front end website.

The total solution is priced around $500 US dollars, using an inexpensive microscope, a laptop capable of running Unbuntu, and the Intel Movidius Neural Compute Stick. Going forward we plan to build the entire solution into a single IoT device and place them around water sources around the world

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