Module 1: Core Cognitive Framework (No External Data)
The foundational module operating purely on internal algorithms without external sensor inputs. It uses the 5D coordinate system (At, Ab, Ex, T, Cn) with mathematical optimization through entropy calculations, factorial geometry, gamma functions, and harmonic progressions. This module demonstrates the system's ability to self-regulate and optimize coordinates toward the target Cn score of 0.000123 using purely algorithmic approaches.
Module 2: Real-Time Sensor Integration (Complete Data)
The operational module that processes complete sensor data streams including CEA, CA_19_9, oxygen levels, heart rate, and HRH1 levels. It translates real-world biomarker readings into the 5D coordinate system, enabling dynamic treatment adjustments. This module represents the system's practical application with full sensor integration for comprehensive patient monitoring and treatment optimization.
Module 3: Adaptive Processing (Partial Data)
The resilient module designed to function with incomplete or missing sensor data. It combines available sensor inputs with algorithmic estimation to maintain treatment continuity even when some sensors fail or data is unavailable. This module ensures system reliability and demonstrates the technology's robustness in real-world clinical scenarios where perfect data availability cannot be guaranteed.
Each module showcases different aspects of the Chaitanya Shakti system's adaptability, from pure algorithmic operation to full sensor integration and fault-tolerant processing.
