Case 01
Future Scope AI Powered Goal Planner
AI / Technology

Future Scope AI Powered Goal Planner
Code Network Winter Hackathon 2025 Winner
[Project Overview]
Future Scope is an AI-powered goal planner that gamifies productivity by turning personal goals into interactive journeys. 1st place recipient of the QUT CodeNetwork Winter Hackathon 2025 “Re-Imagining the Future”, conceptualised and constructed in only 48hrs.
[Problem Statement]
In a world overflowing with online resources, people struggle to start their goals and plan their journey toward the future they imagine. Despite the rise of AI and productivity apps, most tools focus on managing tasks rather than helping people turn their ambitions into actionable steps.
[Industry]
AI / Technology
[Team]
Ruby - Product Designer & Front-end
Inhwa - Front-end Developer
Seigi - Back-end Developer
Lucas - Full-stack Developer
[Platforms]
Web Application
[Timeline]
9 Aug 2025- 10 Aug 2025 (2 days)
"Information Overload"
Information overload is a growing problem made worse by the digitalisation of work and the constant flow of online content. While AI tools like ChatGPT and Claude have made it easier to search and access information, many people now feel more overwhelmed as they find it harder to take action and stay focused.
Solution
Our solution combines a simple onboarding flow with an AI-powered dashboard that helps users track progress and stay motivated through guided milestones and rewards.
3 Steps Flow
Input Your Goal
AI Breaks It Down
Timeline + rewards keep you motivated
Future Scope directly responded to the hackathon’s theme “Reimagine the Future.”
Uses AI to solve real-world overwhelm: turning endless digital noise into clarity
Encourages offline progress through guided steps: motivating real-life actions beyond the app
Transforms abundance into personal clarity: helping users focus on what truly matters
Reimagine your future: empowering individuals to envision and actively shape their own path
Ideate
Low-Fidelity Prototype & Onboarding Journey
To create an MVP that clearly demonstrated our solution, we focused on the onboarding process.
We began sketching possible user flows, focusing on how onboarding could make goal-setting feel easy and encouraging.
On boarding Flow (Before)
Initially, we conceptualised around what information was needed to generate a visible roadmap and built an early version of the onboarding flow.
On boarding Flow (After)
While prototyping, we realized that integrating the OpenAI API worked better when milestones were generated first. This allowed us to estimate the timeline more accurately and provide users with a realistic path toward their goal.
Design
Mid & High-Fidelity Wireframes
We designed wireframes, iterated quickly, and moved into high-fidelity screens to prototype the onboarding experience.
Development
Development (React + Node.js + Open API)
We connected the OpenAI API to generate roadmaps based on prior knowledge, allowing the app to break big goals into smaller milestones.
Outcome
1st Place Winner – CodeNetwork Winter Hackathon 2025
Proudly supported by Tanda, Macquarie Group, Technology One
Featured on the QUT community board











