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[CS-AI-03]Autonomous Intelligence & Healthcare InformaticsACTIVE

DawaiSathi v4.0: AI-Powered Family Medicine Cabinet

LEAD INVESTIGATOR: Ayaan SaifiTIMEFRAME: 2024 - Present
Source Repository →Live Deployment Node →All Research Systems →
DawaiSathi v4.0: AI-Powered Family Medicine Cabinet
Scientific Abstract & System Specification

Medication non-adherence and undetected polypharmacy drug-drug interactions cause severe complications in home healthcare environments with complex multi-generational prescriptions. DawaiSathi v4.0 combines Google Gemini Flash multimodal vision transformers for unconstrained prescription OCR and structured schedule extraction, coupled with automated drug-drug conflict detection, a zero-setup family provisioning architecture, and mobile-first glassmorphic UI.

Core Architectural Challenge

Vision AI-driven prescription parsing, conflict-detection shield, and multi-tenant family healthcare synchronization platform.

Mathematical Basis & Formal Invariants

Vision-language tokenized autoregressive decoding, graph-based drug conflict constraint matrices.

Key Empirical Findings & Benchmark Metrics
[01]

Instantaneous multi-drug identification and automatic scheduling directly from camera captures.

[02]

Built-in Drug Safety Shield detecting interactions and food/dietary conflicts in real time.

[03]

Full progressive web app (PWA) with push and Telegram notifications.

Verification & Telemetry Testbed

Prescription Vision OCR & Family Schedule Telemetry

Formal Verification & Engineering Stack
Ayaan SaifiMatrika RegmiJoga NubaidMd Saif