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Day 3

Mobile Application Development & Smart Home Development

The first session for the day was Mobile Application Development by Mrs. Parveen. Learning the basics of building mobile apps using an application called Thunkable was an exciting and enlightening experience for me. Mrs. Praveena Kolli was an excellent teacher who guided me through the process and provided valuable insights and tips along the way.

The first thing I learned was how to set up a new project in Thunkable and customize the design and layout of the app. This included adding buttons, text boxes, and other interactive elements to the app, as well as choosing colors and fonts to create a visually appealing interface.

Next, I learned how to add functionality to the app using blocks of code. Mrs. Kolli introduced me to the concept of event-driven programming, which involves creating actions that are triggered by user input or other events. For example, I learned how to create a button that, when clicked, would display a message or perform a specific task.

One of the most rewarding aspects of the course was seeing my app come to life as I added more and more features. It was truly exciting to see the app I had built from scratch take shape and become something that was actually useful and functional.

Overall, learning the basics of building mobile apps using Thunkable was a fantastic experience, and I am grateful to have had the opportunity to learn from an experienced and knowledgeable instructor like Mrs. Parveena. I would highly recommend this application to anyone interested in learning how to build mobile apps and make their ideas a reality.

The next session was Smart Home Development by Ms. Donthi Sankalpa. Ms. Donthi began the session by introducing the concept of a smart home and the various devices that can be used to automate and control various systems within the home, such as lighting, heating, and security. She explained that IoT devices are connected to the internet and can be controlled remotely using a smartphone app or voice assistants such as Amazon Echo or Google Home.

Next, Ms. Donthi demonstrated how to program an IoT device, using a lightbulb as an example in Home I/O. She walked us through the process of setting up the lightbulb and connecting it to python IDLE, as well as programming it to respond to certain triggers, such as a specific time of day. We also programmed gates and home security using data sent from sensors.

After the programming demonstration, Ms. Donthi discussed the different types of smart home systems that are available, including home security, energy management, and home entertainment. She provided an overview of the various devices and systems that can be used to create a fully-automated smart home, including smart thermostats, smart locks, and smart appliances.

Overall, the Smart Home Development session with Ms. Donthi was a valuable learning experience for us, who left with a better understanding of how to build and program a smart home using IoT devices.

App Development 

Summary of the application:

  • Records latitude and longitude of current location with a location sensor with the "Record Car Location" button.

  • "Find Car" button opens the recorded location.

  • "Find Path" opens the directions needed to reach the recorded location. 

  • A long press on the map records a new location and the "Find Path" button navigates to it from your current location. 

  • "Find Nearby Parking" helps find parking locations near you. 

App Development Code

Smart Home Development Code in Python and Scratch

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DAY 3 TAUGHT BY

Mrs. Praveena Kolli

Lab Instructor 

Prior to joining AUS, Mrs. Praveena Kolli taught in computer science and engineering departments in India and the Middle East for more than 12 years at institutions such as Al Ghurair University, Dubai; Emirates Center for Management and Technology Dubai; and PRRM Engineering College, Hyderabad, India. Her teaching and research interest is in the areas of programming, database system, programming languages, data structures and mobile app development.

Ms. Donthi Sankalpa

Ms. Donthi Sankalpa is received her M.Sc. (2022) and B.Sc. (2019) in Computer Engineering from the American University of Sharjah, UAE. She was awarded a graduate teaching assistantship for her master’s study during which she co-authored several conferences papers and a journal paper specializing on the use of smart healthcare principles. She is the recipient of numerous accolades, pertaining to competitions hosted by the UAE government and conferences. She has experience in teaching ML, VR and Mobile Apps to Middle and High School students on an Online platform named CampK12 and has completed various certifications through Google quiklabs. Donthi’s research interests include Machine Learning and Deep Learning in Health Sciences and Medical Imaging.

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