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README.md

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 title: Abyssinia Intelligence V7
 emoji: ⚕️
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 sdk: streamlit
-sdk_version: 1.42.0
+sdk_version: 1.54.0
 app_file: app.py
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+pinned: true
+---
+
+# 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.
+
+---
+
+## 👨‍⚕️ 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.
+
+---
+
+## 🧬 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`.
+
+---
+
+## ⚖️ 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