Inspiration

Climate policy is often presented in ways that feel abstract, disconnected, or oversimplified. I realized that future leaders need more than just numbers and projections: they need interactive experiences that expose them to the trade-offs, constraints, and real-world consequences of policy decisions. Most climate education focuses on awareness alone, leaving students unprepared for the complexities of civic decision-making.


What it does

Impact Horizon is an interactive web platform where users explore policy trade-offs through scenario-based simulations. Instead of passively reading about climate facts, users step into the shoes of decision-makers, navigating the consequences of different policies.

The platform dynamically shows how choices impact jobs, emissions, energy demand, and community well-being, helping users understand the interconnected systems that underpin sustainable development and civic planning.


How I built it

The frontend is built in React + Next.js, delivering a fast, modular interface. A dashboard summarizes scenarios, while dynamic pages display detailed outcomes with charts and metrics.

The backend integrates API endpoints for embeddings and reasoning models that generate scenario narratives and evaluate trade-offs. Similar policy contexts are grouped via the embeddings pipeline, while GPT-4o-mini provides contextualized feedback and stakeholder responses.

I used TailwindCSS for rapid, clean styling, creating a structure that is scalable and ready for future AI-driven recommendations.


Challenges I ran into

  • Designing data structures so that scenarios are dynamic and comparable, not static case studies.
  • Correctly integrating the embeddings API, overcoming multiple formatting issues.
  • Balancing technical development with storytelling and educational clarity.
  • Achieving a clean, intuitive UI despite limited design experience.

Accomplishments

  • Delivered a working prototype combining interactive design, AI integration, and civic education.
  • Built a scalable, intuitive architecture ready for expansion.
  • Translated abstract civic and climate challenges into a tangible, engaging platform.
  • Successfully implemented OpenAI API without hardcoding responses for the MVP.

What I learned

  • AI reasoning can make complex policy trade-offs understandable.
  • User experience is critical in educational tools; clarity can make tough concepts approachable.
  • Simplification without losing rigor is the hardest part of civic and climate education.
  • Deepened technical skills in React, Next.js, API integration, and balancing narrative with technical clarity.

What's next for Impact Horizon

  • Expand scenario libraries to include global civic and climate contexts.
  • Add multiplayer or classroom modes for collaborative decision-making.
  • Integrate real datasets from sources like IPCC and IEA for scenario accuracy.
  • Explore deeper AI integration for adaptive feedback, making the platform both a simulator and tutor.
  • Enhance engagement with visual characters and dynamic, interactive consequences beyond text-based simulations.

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