iints-sdk-python35 1.5.7

A pre-clinical Edge-AI SDK for diabetes management validation.

IINTS-AF SDK

"Code shouldn't be a secret when it's managing a life."

Open-source research platform for insulin delivery algorithm simulation and validation.

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What It Does

• Simulate virtual patients across thousands of scenarios before any algorithm reaches a real device
• Certify datasets cryptographically — traceable, consented, reproducible
• Understand results with audit-ready reports and local AI explanation via Ministral

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Install

pip install "iints-sdk-python35[full,mdmp]"
iints doctor --smoke-run

Raspberry Pi / Arduino UNO Q:

pip install "iints-sdk-python35[edge,mdmp]"
iints edge quickstart --board raspberry_pi
iints edge quickstart --board uno_q

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Quick Start

iints quickstart --project-name my_study
cd my_study
iints presets run --name baseline_t1d --algo algorithms/example_algorithm.py
iints ai report results/<run_id>

Full documentation: python35.github.io/IINTS-SDK

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Live Demo

For a Zoom call, jury walkthrough, or sponsor demo where you want to show both the code and the generated outputs in one terminal flow:

iints demo-live --output-dir results/live_demo

That exports the showable demo script, prints the key SDK calls, runs the demo, and lists the poster plus proof artifacts to open next.

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Research software. Not a medical device. MIT Licensed.
Built by a 17-year-old with type 1 diabetes.