Hands-on Tutorials

Using a pose estimation model, an object detection model built using Amazon SageMaker JumpStart, a gesture recognition system and a 3D game engine written in OpenGL running on an NVIDIA Jetson AGX Xavier, I built Griffin, a game that let my toddler use his body to fly as an eagle in a fantasy 3D world.


I used the knowledge and wisdom I gained from my work in Artificial Intelligence to understand and teach my two-year-old son more effectively and regain my sanity.

Image via Unsplash and Freepik

Overview

The knowledge I have gained from building Artificial Intelligence (AI) tech is directly applicable to raising my toddler. Not only does it help me teach him more effectively, but it also helps me understand why he does naughty things, which I had previously thought he did merely for the sake of torturing us. As I explore such ideas in this blog post, I will also give a brief overview of relevant AI projects to help illustrate my analogy.

My AI Related Work

I have been working in AI for more than five years, and at the risk of sounding creepy, my love of AI…


I used a Neural Machine Translation model trained on Amazon SageMaker, Amazon Polly, Google Speech API, and an audio routing tool, to build Jarvis — a chatbot who can talk to you in a video conference call.

Carsales Hackathon


An interactive supermarket simulation showing how important social distancing is for containing the spread of Covid-19

Overview

There is no doubt that Covid-19 has spread like wildfire and wreaked havoc on our lives. In just four weeks, our way of life has become very different from what it used to be. To stop the spread of the virus, countries are imposing preventative measures. The majority have closed their borders, internationally and state-wide, and many others such as Australia and New Zealand have imposed a lockdown, closing non-essential businesses and venues such as cinemas, pubs, restaurants, parks and playgrounds. Only essential businesses like supermarkets, childcare facilities and chemists can remain open.


Using an object detection AI model, a game engine, an Amazon Polly and a Selenium automation framework running on an NVIDIA Jetson Nano to build Qrio, a bot which can speak, recognise a toy and play a relevant video on YouTube.



faAi, Fashion Assistant Artificial Intelligence

Overview

This question pops up from my wife nearly everyday.

What should I wear Today?

It is a tough question to answer since firstly I have no sense of fashion while Yumi is quite the contrary and she also has a degree in Fashion Design. Secondly, I have a bad memory of remembering what clothes she wore in the past few weeks to be able to provide diversity to my answer.


Business Case

carsales retail portal facilitates buying and selling cars. There are approximately 250,000 cars in our platform and there are 5,000 new ads submitted a day. To keep the quality of the ads high, the customer support team (CST) manually review and approve each…


Cyclops Tech

Building our first Deep Neural Network

The first Deep Neural Network we built at Carsales was Cyclops 1.0 around three years ago. It’s an image classification model which can categorise a photo of a car into 27 categories; boot, passenger seat, dashboard, full front, full rear, side mirror, etc. The…

Agustinus Nalwan

The AI guy Connect with me on https://www.linkedin.com/in/agustinus-nalwan

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