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Team Seal 6

Built at Meta Global AI Developer Hackathon · Oct 26, 2026 · Remote

Demo video · drive.google.com/…

What-If Lens — Turning Scientific Knowledge Into Executable Experiments https://what-if-lens.vercel.app/ What if every equation, scientific diagram, and textbook illustration could come alive? Today, scientific knowledge is largely presented through static diagrams, mathematical expressions, and written explanations. Understanding how these systems behave often requires specialized simulation software, programming knowledge, or significant manual effort. This creates a gap between reading scientific concepts and actually experimenting with them. What-If Lens bridges that gap. What-If Lens is a multimodal, AI-powered scientific experimentation platform that transforms mathematical expressions and physics diagrams into interactive, animated simulations. Users can point their camera at a diagram or upload an image. The system identifies the scientific concept, interprets its components and relationships, and creates an interactive visualization using the appropriate mathematical or physics engine. Rather than simply displaying a static 3D model, What-If Lens allows users to experiment with the underlying system. Users can modify variables, manipulate physical conditions, compare outcomes, test predictions, and explore how changes affect real scientific behavior. For example, a user can scan a projectile-motion problem, visualize its trajectory, change gravity or launch velocity, and immediately observe the recalculated motion. Similarly, mathematical equations can become manipulable graphs, while electrical circuits become animated systems with current flow and interactive components. Our goal is to move beyond AI-generated explanations toward AI-generated, executable scientific understanding. By combining Meta's multimodal AI capabilities with deterministic scientific simulation engines and interactive visualization, What-If Lens makes experimentation accessible directly from everyday scientific material. Our vision is simple: If you can see a scientific concept, you should be able to experiment with it.

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