Growth Garden is an award-winning, AI-powered application designed to transform overwhelming digital experiences into positive journeys of personal growth. Our team, Street Corn, won first place out of 135+ projects, a testament to our innovative approach to combining psychology with technology.
A personalized AI assistant named "Bruce" provides habit recommendations and guidance using advanced prompt engineering and conversational flows.
My Contribution:
I architected the AI system using Langflow, creating the logic for contextual chaining and response generation without traditional model fine-tuning.
Users cultivate a digital garden by completing tasks, with a physics-based system allowing for satisfying placement of plants and decor.
My Contribution:
I provided feedback to the team on the physics engine integration, ensuring a smooth and engaging user experience while maintaining performance.
A scalable backend using DataStax manages user data, habit progress, and garden state persistence in real-time.
My Contribution:
I was responsible for the DataStax integration, primarly using Langflow to create a robust data model and query system that ensures efficient, real-time synchronization.
The project was presented to a panel of judges, culminating in a first-place victory at Australia's largest student hackathon.
My Contribution:
As the presentation lead, I designed the narrative, structured the demo, and showcased our technical innovations, which was key to our win.