Three smiling computing students pose with their machine learning tool 'Spot O' which helps people locate lost items.

Innovative solutions to real-world problems

On Monday we were fortunate enough to experience the next wave of technological innovation, viewing projects by our Units 1&2 Applied Computing students. Working in small teams to identify and analyse a problem, our students designed and developed an innovative solution to the issue, utilising emerging technologies.

Each team presented their project, explaining how they identified and researched their problem and then developed a technology-focused solution to the problem. 

Eden, Dylan and James developed ‘Spot-O’, a solution for finding items commonly misplaced by people in aged care settings, including eye glasses, keys and wallets.

Using a microbit and huskylens, they made a machine learning device that ‘learns’ the common lost objects and helps users to locate them.

Daniel, Tom and Gregory used Python code to produce a unique device designed for people with hearing disabilities, ‘Visual S’, which enables students to see conversational sounds in text form. Visual S uses AR technology to display text in real-time from the sound around the user.

Dylan, Jacob and Ollie created a tool called T.H.O.M.A.S – Train Halting Obstruction Management and Avoidance System. This also used a huskylens and microbit to ‘teach’ the program to halt the train when there is an obstacle on the tracks. They showcased their solution through a model train and track.

As well as building innovative solutions to real-world problems, students learned data analysis, time management, and collaboration skills.

Kol HaKavod to our innovative Computing students!