South-East Queensland
Year 3 – 4
First Place
Automatic Flowerpot Shade
Anlan Zheng
Good News Lutheran School
My project is about making an automatic flower pot shade for my Mum. My Mum had to keep moving the flower pots around so that they were out of the sun. Sometimes when I helped her move the flower pot I would break the pots. I talked to my Dad about it and we decided I would design and create an automatic flower pot shade to help us all.
I have used the Design Process to design, create, test and improve my design. The automatic flower pot shade has an small umbrella which automatically opens to cover the flower when the temperature is too hot, over 20 degrees, and close when it cooled down under 20 degrees. I am programming a circuit board to tell the switch to open or close the umbrella.
We are using Arduino IDE with C++ for coding and connecting this to the motor driver, stepper motor, OLED display, buttons to manage the device and the umbrella.
Second Place
Chipy – The School Tracker Band
Marcus Duan, Lani Pragji
Good News Lutheran School
Our parents are worried that sometimes we might not arrive at school safely if we go by ourselves. So, they do not let us ride or walk to school. We are also too young to bring a mobile phone or a Smartwatch to school and they are quite expensive.
We wanted to have an alternative, cheaper option for students like us so that they could ride or walk to school by themselves without their parents worrying about us arriving at school safely.
We followed the Design Process and came up with the idea to create a tracker band, that we have called Chipy, for students like us to wear. When students wear Chipy, they will be able to scan into school when they arrive at school and an email will be sent to their parents and the teacher to let them know they are at school and safe. We could also scan out of school when we leave and then our parents would know when to expect us at home.
We have used the existing NFC wristbands and designed a scanner (NFC Receiver connected to an Arduino) for us to scan in when we arrive. We are using C++ code to program the Arduino.
Third Place
Diabetes Treaties
Francesca Fenwick, Genevieve Bint, Freya Connors, Lilian Peters
St Joseph’s Bardon
We were inspired by the lives of people in some of our families that have diabetes and wanted to give them some support.
Our problem is that people with type 1 diabetes have a shorter life span and have to carefully measure their insulin each day.
Our project is called diabetes treaties and its aim is to improve the lifestyle of people with type 1 diabetes. It is designed as a watch which reads blood glucose levels and sounds an alarm as an alert to notify the person of critical levels. We would like to find a way to also make this technology with a vibration sensor so it can alert people who a hearing impaired.
We wanted to measure blood glucose levels, but we couldn’t find the tech to do it, so we decided to model it with a temperature sensor. We wish that we drew a sketch earlier on in our design process and didn’t waste as much time. We have had to make lots of small changes along the way.
We used micro:bit and littlebits for our tech and the micro:bit makecode app for our code. We use the littlebits, Temperature sensor, power connector, number display and buzzer. We also use the micro:bit apapter to connect the littlebits pieces to the microbit.
Year 5 – 6
First Place
AirSmart – Air Pollution Analysis
Yuna Ebrahimi, Sebastian Barlow, Esteban Chirinos, Pramaan Meena, Eyob Mamo
East Brisbane State School
Air pollution is a major problem for people with asthma and other respiratory problems. Annually, 6.7 million people die from air pollution issues globally . Recently, Brisbane has experienced high levels of air pollution, from planned vegetation burns, and increased vehicle traffic. Measured using the amount of air particulates PM2.5 and PM10, the levels experienced were hazardous to these sensitive groups. It is not only these one-off instances that can cause issues, like other urban centres, Brisbane has a high volume of vehicle and other emissions that can also cause problems depending on weather conditions.
Our project, the Air Pollution Monitor will monitor air quality within and outside the city. The monitor will use a gas sensor and Arduino to measure local air quality over time and compare the air pollution at key locations. This sensor is designed to show the difference in pollution levels between urban and semi-rural areas to highlight the need to reduce air pollution in these areas. We will also need to understand the main causes of pollution in certain areas. Our data will raise awareness about airborne pollutants and the significant risks they pose to members of our community.
Second Place
Food Safety Frogs
Lily Sumich, Molly O’Keefe, Grace Beckman
St Joseph’s Bardon
Foodborne diseases are very common around the world, especially in Southeast Asia and Africa. Sometimes, these illnesses can be deadly. This fact causes a lot of worry for people, 92% of Chinese respondents soon expect to be a victim of food poisoning. Food poisoning can be caused by staphylococcus aureus, salmonella, clostridium and many more.
With our project, we are trying to prevent the consumption of unsafe food that would cause foodborne diseases to third world countries.
We found out that when food is rotting certain gases are produced (methane, carbon dioxide & ethylene). We thought if we could find a sensor to detect these gases it might tell people if the food is safe to eat or not.
Our prototype is a scanner that will sense the gases produced by unsafe bacteria on fermenting food. If these gases are detected, an LED light will flash red. If they are not detected, the lights will flash green.
Third Place
Smart Watch
Charlotte Day, Logan Stacey-Shorter
Harlaxton State School
We are working on a smart watch with a clock to make someone do things like brush their teeth. It also tells the time. It detects if you have diseases. It is made for kids, adults and sick people. This will tell them to have a tablet or go to the doctor. Then they will be better.
Year 7 – 8
First Place
Rain-Sensing Windows
Elise Nguyen
Marymount College
My project is a model of rain-sensing windows. It is a model of a cardboard house that is attached to an original design of a rain sensor. When sensing rain, it signals motors in the house to close windows. I chose my project because I often forget to close my windows when it rains, and wanted to see if this problem could be solved. Some problems I encountered were fixing my rain sensor and connecting the 2 circuits within my build.
Second Place
The Tree Team
Eleanor Angus, Norah Hughes, William Smyth, Kengo Tojo, Nicholas Reid, Aurit Talukdar
Brisbane South State Secondary College
We are the Tree Team, a team of students from BSSSC. The problem that we encountered is that Queensland has high UV and temperature levels resulting in Queensland having the highest amounts of skin cancer in Australia. Our school community, along with other communities all across Queensland could be threatened by the high temperatures and dangerous UV and humidity levels. We have found that trees can help reduce these levels therefore, we want to find which areas around our school need better air qualities. We decided to set up air, temperature, and UV monitors in and around our school, which will collect data, send that data via WiFi to the Arduino IoT Cloud, which will then allow every team member to view the data collected and share it with the community. This will help raise awareness and by providing people with the data we’ve collected; we can minimise the risk of people in our school community getting skin cancer later in life.
Third Place
Internal LLM Chat Bot
Tanmay Unnikrishnan
Brisbane South State Secondary College
The Internal LLM Chat Bot aims to create a large language model that is trained to work on a bounded dataset internal to an organization. Although there are various effective AI models available, data security is imperative for individual users and major organizations. In addition to this, big models require substantial resources to train, tune, and deploy and often have a multitude of features that are proven unnecessary for a targeted use case with a defined scope. Built using an open-source large language model, this project will use a dataset such as data from a website to train the large language model and develop responses to prompts regarding the data. This can also be used by companies that want to use an AI chat application that works on their internal data with a small investment to train and deploy the model.
Year 9 – 10
First Place
Lung Disease A.I.D (Artificially Intelligent Device)
Terrell Jensen
Marymount College
My project is an artificial intelligence which is capable of diagnosing lung diseases by analysing chest x-rays. I built the model in a form of Python known as “PyTorch”, used for A.I. development, I also built an accompanying “utils” document for command execution and data scraping on Google Images for x-ray samples to power the model. I chose my project because members of my family including me have suffered pneumonia before and my goal is to prevent people from experiencing the same difficulties others and I have. I’ve encountered an array of errors, problems, and glitches, from file save errors, traceback errors, and even overloading my desktop’s CPU. The problem I’m trying to solve is accurately diagnosing lung diseases without fail. I want to make this technology accessible across the country to benefit the health system. My goal is to act as a co-pilot for lung specialists rather than making them redundant. Features include able to diagnose six different conditions: healthy, viral pneumonia, bacterial pneumonia, lung cancer, tuberculosis, & chronic obstructive pulmonary disorder. The system also is easily capable of adding more scans from clinics and other sources. If I were to do it next time I would build it in another program such as JavaScript TensorFlow for easy user interface construction.
Second Place
Weed Decimating Robotics
Janu Uthayaseelan, Jacky Xiong, Miqueas Martinez, Ayoub Yaghoubi
Woodridge State High School
This project is based upon the ideas of providing solutions towards agriculture issues, such as find pin-point positions to completely remove weed which absorbs nutrients from the plants itself. The project itself will contain codes which allow the Sphero RvR to enter the designated ‘Farm’ and with the implementation of sensors it will detect the different colours which act as the weed. Upon detecting the ‘weed’ the Sphero RvR will perform an act of sound – colour change indicating the different mode it has entered
Year 11 – 12
First Place
Superhero Spelling
Emma Wong
Brisbane Girls Grammar School
Superhero Spelling is an Interactive Learning Object (ILO) that facilitates engaging and meaningful spelling practice for primary school students through educational gameplay. Inside the game, students play as the caped superhero, Superspeller, who fights against misspelling villain Scrambler by correctly identifying and spelling scrambled words.
Several game modes provide effective utility for an enterprising student – endless and set-length batches of questions – while unique question lists adapted from the Australian Curriculum enable the ILO’s use by multiple age groups. Each spelling session also helps users identify spelling weaknesses, with incorrect responses and the associated correct response reported at the end.
To fully engage users, adaptive mini-endings based on the user’s score reward improvements in ability. Stylised cartoon-like graphics, appropriate for the target audience age, have also been used to enhance the game’s user engagement.
Second Place
Daily Wellness App
Lucyana Gabriel
Marymount College
What inspired the idea for the project was the need for an app that helps people with disorders cope with there day to day lives and take time for wellness. The first bit of inspiration came from my dad who wanted to start writing an adhd and autism journal with the aim of creating it to earn passive income and help people cope with their day. That idea eventually transformed into an application that is accessible to everyone and not have to carry a big heavy book and pencil case. This transformation of an idea with built in notifications and a like and dislike of actives. The original idea also included updates to the journal. The application idea carried that same idea of updates but with things like updates when the user has those angry moments.
