Carma

The proposed product is a high-fidelity Urban Digital Twin platform that turns environmental policymaking into an interactive, data-driven simulation experience. Instead of studying alone through long, static reports and isolated data points, stakeholders learn how interventions impact a city through real-time causal graphs and immediately apply policies in a simulated environment powered by AI.

The system is built around a continuous loop: Research → Simulate → Analyze → Refine. Bite-sized AI-generated policy recommendations introduce potential solutions, causal simulations reinforce understanding through multi-sector impact tracking, and dynamic forecasting models ensure long-term consequences automatically surface until balanced. Live AQI monitoring, localized heatmaps, and side-by-side scenario comparisons create comprehensive insight, pushing decision-makers to formulate optimal climate strategies.

Unlike traditional environmental modeling tools that focus on isolated metrics, this product makes policy design interactive, holistic, and deeply insightful, transforming urban planning from a slow, opaque process into an engaging visual sandbox. The core goal is to solve three major problems in climate policymaking: disjointed sector data, lack of systemic foresight, and poor stakeholder engagement, by combining causal AI, real-time analytics, and high-fidelity visualizations into one unified experience.