As a web developer, I don’t have many chances to play with mobile app projects. So rather than limit myself to just one field, I love to explore other technologies, especially mobile app development.
Burger Project: My First Xamarin App
Last month, I attended a Xamarin talk at Microsoft Singapore office with my colleague. The talk was about authentication and authorization with social networks such as Facebook and Twitter via Azure App Service: Mobile App.
The speaker is Ben Ishiyama-Levy, a Xamarin evangelist. His talk inspired me to further explore how I could retrieve user info from social network after authenticating the users.
Because I am geek-first and I really want to find out more, so I continue to read more about this topic. With the help from my colleague, I developed a simple Xamarin.Android app to demonstrate the Authentication and logged-in user’s info retrieval.
The demo app is called Burger and it can be found on my Github repository: https://github.com/goh-chunlin/Burger.
Challenges in Burger Project
In Burger project, the first big challenge is to understand how Azure App Service: Mobile App works in Xamarin. Luckily, with the material and tutorial given in the Xamarin talk from Ben, I was able to get a quick start on this.
My colleague also shared another tutorial which is about getting authenticated user’s personal details on Universal Windows Platform (UWP). It helps me a lot to understand about how mobile app and Azure App Service can work together.
My second challenge in this project is to understand Facebook Graph API. I still remember that I spent quite some time finding out why I could not retrieve the friend list of a logged-in Facebook user. With the introduction of the Facebook Graph API 2.0, access to a user’s friends list via /me/friends is limited to just friends using the same app. Hence after reading a few other online tutorials, I finally somehow able to get another subset of a user’s friends via /me/taggable_friends.
In this project, it’s also the first time I apply Reflection in my personal project. It helps me easily get the according social network login class with a neat and organized code.
Cheese Project: When Google Speech Meets MS LUIS on Android
Few months ago, I’m fortunate to represent my company to attend Microsoft Developer Day 2016 in National University of Singapore (NUS).
The day is the first time Microsoft CEO Satya Nadella comes to Singapore. It’s also my first time learn about the powerful Cognitive Services and LUIS (Language Understanding Intelligence Service) in Microsoft Azure in Riza’s talk.
Challenges in Cheese Project
Everyday, it takes about one hour for me to reach home from office. Hence, I will only have two to three hours every night to work on personal projects and learning. During weekends, when people are having fun out there, I will spend time on researching about some exciting new technologies.
There are many advance topics in LUIS. I still remember that when I was learning how LUIS works, my friend was actually playing the Rise of the Tomb Raider beside me. So while he was there phew-phew-phew, I was doing data training on LUIS web interface.
Currently, I only worked on some simple intents, such as returning me current date and time as well as understanding which language I want to translate to.
My first idea in Cheese project is to build an Android app such that if I say “Please translate blah-blah to xxx language”, the app will understand and do the translation accordingly. This can be quite easily done with the help of both LUIS and Google Translate.
After showing this app to my colleagues, we realized one problem in the app. It’s too troublesome for users to keep saying “Please translate blah-blah to xxx language” every time they need to translate something. Hence, recently I have changed it to use GUI to provide language selection. This, however, reduces the role played by LUIS in this project.
To make the project even more fun, I implemented the VoiceText Web API from Japanese in the Android app. The cool thing about this TTS (Text-To-Speech) API is that it allows developers to specify the mood and characteristic of the voice. The challenge, of course, is to read the API written in Japanese. =P
Oh ya, this is the link to my Cheese repository on Github: https://github.com/goh-chunlin/Cheese. I will continue to work on this project while exploring more about LUIS. Stay tuned.
After-Work Personal Projects
There are still more things in mobile app development for me to learn. Even though most of the time I feel exhausted after long work day, working on new and exciting technologies helps me getting energized again in the evening.
I’m not as hardworking as my friends who are willing to sacrifice their sleep for their hobby projects and learning, hence the progress of my personal project development is kind of slow. Oh well, at least now I have my little app to help me talking to people when I travel to Hong Kong and Japan next year!