README.md

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title: Abyssinia Intelligence V7
emoji: ⚕️
colorFrom: blue
colorTo: gray
sdk: streamlit
sdk_version: 1.54.0
app_file: app.py
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Abyssinia Intelligence | Series 7

Sovereign Agentic Clinical Ecosystem

Abyssinia Intelligence V7 is a multimodal healthcare AI designed for high-fidelity clinical reasoning in the Ethiopian healthcare context. It synthesizes patient history, diagnostic imaging, and real-time vital telemetry into a bilingual (English/Amharic) clinical report.

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👨‍⚕️ Clinician's User Guide

1. Data Entry & Synthesis

To ensure the highest diagnostic accuracy, the Sovereign Engine requires a complete dataset.

• Clinical Notes: Enter detailed patient history, including current symptoms, duration, and past medical history in the primary text area.
• Clinical Scan: Upload high-resolution diagnostic imaging (X-ray, Ultrasound, or CT) in the diagnostics sidebar.
• Vital Stream: The system automatically captures the active physiological stream for trend analysis.

2. Interpreting the Digital Twin

The AI constructs a Digital Twin—a virtual model that maps raw data to structured FHIR (Fast Healthcare Interoperability Resources) observations. This twin allows the AI to predict patient trajectories rather than just analyzing a static moment in time.

3. Bilingual Output

The analysis is presented in two sections:

• Professional Assessment (English): Detailed differential diagnosis for the clinical team.
• የሕክምና ማጠቃለያ (Amharic): A formal summary intended for patient communication, ensuring transparency and cultural accessibility.

4. Verified Documentation

Click Download Verified V7 Report to generate a secure PDF. Each report contains a unique QR Verification Code. Scanning this code verifies the document's authenticity against the original session ledger, preventing tampering or misinformation.

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🧬 Technical Specifications

System Architecture

• Core Engine: Gemini 3 Pro (Antigravity Architecture) for primary reasoning; Gemini 3 Flash for sub-second vital stream processing.
• Language Model: Specialized Ethiopic script tokenization using the Abyssinica SIL engine.
• Interoperability: Fully compliant with HL7 FHIR R4 standards for Digital Twin assembly.
• Verification: SHA-256 hashed unique identifiers linked to a session-specific QR code.

Deployment Requirements

• Environment Secret: GEMINI_API_KEY (Google AI Studio 2026 Production Key).
• Assets: static/AbyssinicaSIL.ttf must be present for Amharic PDF rendering.
• Dependencies: Refer to requirements.txt for the specific versions of google-genai, fpdf2, and plotly.

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⚖️ Governance & Safety

Abyssinia Intelligence is a Clinical Assistant, not a Sovereign Diagnostician. All outputs must be reviewed and signed off by a licensed medical professional. The system is designed to augment human decision-making by reducing cognitive load and identifying trends that may be missed during manual triage.

Lead Developer: Dawit (Healthcare AI Programmer) Version: 7.0.0 (Feature Complete) Location: Addis Ababa, Ethiopia | 2026