SYNAPSE GRID — Decision Operating System

Inspiration

The inspiration for SYNAPSE GRID comes from the concept of a "Decision Operating System"—a high-fidelity simulation layer for the real world. We wanted to build a dashboard that allows anyone to simulate the systemic ripples of a policy before a single dollar is spent.

What it does

SYNAPSE GRID is a multi-domain simulation platform that predicts the impact of large-scale decisions across four critical sectors:

  • Climate Infrastructure: Simulates EV adoption and CO2 reduction.
  • Macro-Economic Policy: Predicts GDP growth and market confidence.
  • Healthcare Systems: Analyzes hospital budget and telehealth mandates.
  • Urban Planning: Models housing density and transit budgets.

The platform provides interactive charts, real-time KPI updates, and a Strategic AI layer using Google Gemini that interprets the raw data.

How we built it

We utilized a high-performance modern tech stack:

  • Frontend: React 18 + Vite + Zustand
  • UI/UX: Custom Vanilla CSS Glassmorphism palette.
  • Backend: FastAPI (Python) with a modular engine architecture.
  • AI: Integrated Gemini 1.5 Flash for dynamic insight generation.

Challenges we ran into

Building a Domain Agnostic system was our biggest hurdle. We had to refactor the entire data model to ensure that a single UI could handle vastly different inputs—from interest rates in Finance to zoning percentages in Urban planning.

Accomplishments that we're proud of

We are incredibly proud of the UI Performance and the Differential Comparison Engine. Being able to visually compare two complex futures side-by-side with a calculated "Delta" is a major milestone.

What we learned

We learned the value of Separation of Concerns. Keeping the mathematical simulation logic independent from the AI narrative generation allowed us to build a tool that is both "factually" consistent and intelligently descriptive.

What's next for SYNAPSE GRID

  • Real-Time Data: Connecting to live grid and market APIs.
  • Collaborative Mode: Multiplayer policy drafting.
  • Black Swan Generator: Simulating randomized global shocks.

Built With

  • and
  • axios
  • fastapi
  • google-gemini-ai
  • pydantic
  • python
  • react
  • recharts
  • vanilla-css
  • vite
  • zustand
Share this project:

Updates