EmotionFlow: Encoding Feelings into Data

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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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