Apps

The primary objective of DyslexiScan is to enhance accessibility and comprehension of written text for individuals with dyslexia by leveraging cutting-edge technology. 

Features:

• Text Recognition: Enable users to effortlessly capture and extract text from various printed materials using the device's camera, powered by Apple's Vision API.

• Dyslexic Text Conversion: Utilize Google Gemini and built in spell checker to convert recognized text from dyslexic format to conventional easy to read format, facilitating easier reading and comprehension for individuals without dyslexia.

• Text-to-Speech Functionality: Provide a built-in text-to-speech feature to accommodate auditory learners and those who benefit from simultaneous visual and auditory input.

• Save and Share Capabilities: Allow users to save converted text for future reference and share it with teachers, colleagues, or friends, promoting accessibility and collaboration

Agents (A.K.A Chatbots)

Traditional AI assistants available in the market often fall short because they lack adaptability, multilingual accessibility, and the ability to work efficiently in low-resource environments. Recognizing these gaps, Sara AI Companion has been envisioned as a smart, inclusive, and versatile assistant designed to support individuals in diverse aspects of their lives. Sara AI Companion Features:

• Customizable interface (background color, font color, font size)

• Voice support for the visually impaired

• Support for multiple Indian and international languages

AI and Robotics

AI 3D Assets & Environments

We began by drawing our own BioBeasty creatures by blending Australian animals and researching what each animal needs to survive, including habitats, predators, food sources, and unique features.

Using Delightex, we used AI to generate a 360° habitat that could support the needs of both animals. AI then helped create a 3D model of our BioBeasty, which we rigged and coded to move. We created a virtual diorama showing how our creature would survive in its environment while learning how AI can responsibly support our ideas.

We worked with Green Adelaide and the Botanic Gardens to plant endangered native seeds, including Swamp Wallaby Grass, and learn why these plants are important to protect.

We then created a digital Seed Museum sharing key information about each plant. AI helped us generate plants at different stages of propagation and create AI assets throughout the museum. We combined these with other tools to add textures and detail, bringing our science learning and digital storytelling together.

We explored how swarm intelligence works in nature and compared it to neural networks in digital systems. By using AI generated environments and coding simulations, we learned how simple rules can lead to complex behaviour.

This project helped us understand systems thinking and how ideas from nature can inspire artificial intelligence.

Building with AI

We designed drone parts and outdoor robots using AI to support our engineering ideas. AI helped us improve designs and think about how technology can solve real world problems. We also redesigned drones for conservation, created coded simulations of our drone solutions and built our own 3D models. We also used AI to generate add ons to our Tello drones, which we 3D printed  and attached. Finally, we used AI tools to build on supports to our outdoor RVR Sphero robots, to support our soil moisture sensors and IoT devices.  

Using Autodesk Fusion, we used AI tools to help us model, test, and improve our designs. AI made it easier to try different versions and refine our work.

We still made the final decisions and learned how engineers use AI to support design thinking.

We used 2D game AI generated game design using Canva Code to plan and test ideas before turning them into 3D game environments. AI helped us visualise concepts and refine our designs.

This process showed us how AI can support creativity without taking over our ideas.

We designed drones for real world industry uses, using AI to enhance our models and improve efficiency. Sustainability was an important part of our design choices. 

Quinn's 2D AI Concept (Canva Code): https://hillsschool.my.canva.site/australian-wildlife-drone-tracker

Quinn's 360 Environment Final Simulation: https://edu.delightex.com/WJK-KLC

AI 2D & 3D AI Avatar Agents

We used AI to help design solutions for river restoration. AI avatars, including characters like Hare Care Bunny, helped us share environmental messages through mixed reality experiences.

We also trained 3D Mixed Reality AI agents to be experts on the Onlkaparinga Valley River. This allowed us to go outdoors near the river section that runs through our school and talk directly with a life size agent in our environment. 

This project combined science, storytelling, and digital design to raise awareness about caring for waterways.

Creation & Evaluation with AI

We used Google Notebook LM to explore Dr David Cropley’s research on creativity. AI helped us analyse complex academic texts and understand how creativity can be measured and developed.

This project showed us how AI can support higher level thinking and research skills.

Link to Research Backed Creativity Calculator

We worked as a VR company and were only allowed to use AI to create engaging educational games. This included AI generated environments, 3D assets, audio overlays, and feedback tools.

We explored genetic AI and learned how strong outputs are created through multiple iterations. Using Dr David Cropley’s research and the research backed Creativity Calculator, we worked in design sprints, using AI feedback to refine our ideas and improve creativity, engagement, and learning impact.