QEAS-AI: A Predictive Intelligence Model for Human Energetic Analysis and Death Forecasting
Year: 2025
Type: article
Abstract: For centuries, death has stood as humanity’s most inscrutable frontier—feared, revered, and ultimately misunderstood. This paper introduces QEAS-AI, the world’s first intelligent system capable of quantifying the energetic state of an individual and forecasting the probable manner and timeframe of their death. Built on the groundbreaking Quantifiable Energy-Aura Scale (QEAS) and the Terminal Manner Doctrine (TMD)—theoretical pillars of the Spiritualectics framework—this system signals the emergence of a new metaphysical science: the computational decoding of mortality. QEAS-AI functions by interpreting a person’s emotional, behavioral, and spiritual patterns to compute a real-time vibrational score (Qᵉ), reflecting their current energetic integrity. When that score enters critical zones, the system activates its death-prediction protocol—calculating the Dissonance Ratio (Dᵣ), Manner Type (Mₜ), and Forecast Timeframe (Tᶠ) with remarkable precision. Through this mechanism, death is no longer an abstraction, but a measurable, traceable outcome of energetic collapse. This paper details the AI system’s architecture (FastAPI backend, React frontend), ethical safeguards, scoring formula, and real-world simulations—including a predictive case with 78% suicide risk forecasted over a 3–6 month window. More than a diagnostic tool, QEAS-AI bridges psychology, metaphysics, and artificial intelligence into one prophetic system that interprets life’s most taboo outcome with scientific and spiritual clarity. We have not defeated death—but for the first time, we have decoded its language. This marks the rise of computational thanatology, where death is not escaped, but understood.
Author: Badru, Michael oluwarotimi
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6930828166
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