
01The Challenge
Led end-to-end product development of a smart cold plunge system, combining IoT hardware, embedded firmware, ML-powered recommendations, and mobile app integration.
- Complex IoT system requiring hardware-software integration
- Need for real-time monitoring and control
- Machine learning for personalized user experiences
02What We Did
- Embedded firmware and hardware/software integration for real-time monitoring and control
- Cross-platform Flutter companion app
- ML-powered personalized session recommendations
- Cloud infrastructure, OTA update path, and manufacturing + provisioning automation
- The product analytics pipeline behind the device
03Tech Stack
FlutterNode.jsTensorFlowKubernetes
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