Vidhu-Munshi/BridgeDigitalTwin

The BridgeDigitalTwin project is an academic or experimental prototype for structural health monitoring. With 0 stars and forks and being newly created, it currently represents a reference implementation rather than a production-grade tool. While the specific application (bridge safety) is niche and critical, the technical approach—using hobbyist-grade hardware (Arduino) and standard machine learning (Random Forest)—is a common pattern in IoT education and research. It lacks a proprietary dataset, unique sensor fusion algorithms, or industrial-grade hardware integration that would provide a moat. Frontier labs are unlikely to compete here as the domain is too hardware-specific and physical-world dependent, but industrial players like Bentley Systems (iTwin) or specialized SHM firms already offer much more robust, high-precision alternatives.