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Peace Thabiwa
Peace Thabiwa

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EmotionFlow: Encoding Feelings into Data

The Problem

AI understands language but not emotional continuity.
You can train a model to detect “sad” or “happy,” but not how sadness moves into acceptance.

💥 The BINFLOW Solution

EmotionFlow encodes emotions as flow vectors through time.
Each feeling evolves across the six BINFLOW phases, forming a temporal fingerprint unique to each person.

⚙️ MVP Markup
from binflow import EmotionEncoder

emotion = EmotionEncoder()
emotion.record("sadness")
emotion.transition("acceptance")
emotion.output_flowmap()

🌍 Real-World Impact

We’re not predicting emotion — we’re tracing its motion.
Perfect for therapy AI, film scoring, and empathy-driven systems.

By Peace Thabiwa 🇧🇼 — SAGEWORKS_AI | The BINFLOW Initiative

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