About Claude The Cactus
Claude The Cactus is a Computer Vision project exploring how algorithms can perceive and interact with the physical world. This project demonstrates the intersection of AI, environmental monitoring, and automated control systems.
Computer Vision & AI Integration
Cacti are highly sensitive to nutrients and watering; over- or under-feeding drives stress and deficiency. This project uses Computer Vision and AI to infer feeding health, estimate chlorophyll-related metrics, and detect stress or nutrient imbalance from sensor and image data.
CV pipelines consume visual and telemetry inputs; the Claude API layer handles context, predictions, and automated control decisions. All logic is structured for auditability and extensibility.
Current Status
The system is in active development (Beta Version 0.1.1.0). Real-time sensor monitoring, device control, and livestream overlay are operational. We are curating a cactus-specific dataset for health, chlorophyll, and nutrient-sensitivity models and defining integration points for CV output in the overlay and automation stack.
Future Development
Planned enhancements include an optimized growing enclosure and environmental controls. The goal is to create a fully autonomous monitoring ecosystem that demonstrates advanced CV capabilities in a real-world application.
Technical Stack
Built on FastAPI with AC Infinity Controller integration, real-time sensor monitoring, and AI orchestration. The livestream overlay provides transparent system status and telemetry visualization. All code is structured for maintainability and extensibility as the project evolves.