AMS-Gemma4: Offline Antibiotic Stewardship AI

AMS-Gemma4 is an offline clinical decision support system for antibiotic stewardship in Indian hospitals. Antibiotic resistance kills more people than HIV and malaria combined. India is at the centre of this crisis. The system runs entirely on a standard laptop via Ollama — no internet, no cloud, no patient data leaving the device. Built on Gemma 4 E2B with native function calling architecture. Key features: - Python function calling: calculate_crcl(), check_aware_tier(), lookup_resistance() - Clinical safety gate: automatically rejects contraindicated drugs - WHO AWaRe 2023 classification built-in - ICMR India 2024 resistance patterns - Cockcroft-Gault renal dose adjustment - Tamil and English output - Multimodal: upload culture report photo Clinical validation: UTI case: Nitrofurantoin REJECTED at CrCl 31.5 mL/min. Ceftriaxone recommended correctly. MRSA case: Doxycycline preferred over Vancomycin per AWaRe stewardship principles. Built by Prakash Raj K, Associate Professor of Pharmacy, Sri Balaji Vidyapeeth, Puducherry, India.