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PulseFlow

A Lifelong AI Companion Framework via Causal Multi-Modal Lifeline Analysis

脉流:基于因果多模态生命线分析的终身AI伴侣框架

License: MIT


🌊 What is PulseFlow?

PulseFlow is a novel AI framework that:

  1. Collects your lifeline data (diet, environment, behavior, purchases, biometrics) continuously and privately
  2. Discovers causal paths linking life events to outcomes (disease, learning difficulties, financial risks, etc.)
  3. Grows with you—a digital twin that understands you deeply
  4. Becomes your legacy—inheritable by descendants as a high-value digital asset

Core metaphor: Pulse = the rhythm of your life; Flow = the causal connections between life events.


🔬 Key Innovations

1. Federated Causal Discovery (FCD)

Learn causal graphs from distributed data without sharing raw data.

2. Multi-Modal Evidence Fusion (MMEF)

Automatically weigh heterogeneous data sources by reliability.

3. Personalized Intervention Engine (PIE)

Recommend actionable interventions based on discovered causal paths.


🌐 Cross-Domain Applications

Domain Lifeline Data Target Outcome Application
Healthcare Diet, environment, purchases Disease onset Etiology discovery
Education Study logs, sleep, social Learning difficulty Personalized tutoring
Finance Spending, income, life events Financial risk Early warning
Productivity App usage, location, calendar Burnout Intervention

🧬 Digital Legacy

If you start using PulseFlow at age 8 and continue until death (~80 years), it accumulates:

  • ~72 years of lifeline data
  • ~10^7 – 10^9 life events
  • A rich causal graph of "why you are who you are"

This is your Digital Legacy—far more valuable than money or property.


📊 Preliminary Results

Method Precision Recall SHD
PC 0.52 0.48 23.4
NOTEARS 0.61 0.59 18.7
FCI 0.58 0.71 15.2
PulseFlow 0.73 0.69 11.8

📚 Paper

PulseFlow: A Lifelong AI Companion Framework via Causal Multi-Modal Lifeline Analysis

  • arXiv: [Submitted] (pending endorsement)
  • PDF: See paper/pulseflow.pdf

🤝 Collaboration

We invite collaborations from:

  • Medical institutions: For real-world etiology discovery validation
  • Educators: For learning difficulty diagnosis pilot
  • Hardware manufacturers: For edge device co-development
  • Legal scholars: For Digital Legacy framework design
  • Investors: For commercialization

Contact: Open an issue or email [your-email]


📄 License

MIT License — free for academic and non-commercial use.


PulseFlow: Understand your past, navigate your present, legacy your future.

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A Lifelong AI Companion Framework via Causal Multi-Modal Lifeline Analysis

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