Rahab Ahmed@Rahab

AMAL is an AI-powered medication adherence and early risk-detection system designed to support patients who struggle with managing daily medications. The project addresses a critical healthcare challenge: missed doses, incorrect timings, and late identification of warning signs. AMAL provides smart reminders, dose tracking, adherence analysis, and early alerts based on user-reported symptoms or missed doses. The tool is optimized for patients with chronic illnesses, elders, caregivers, and anyone needing medication support. Through a user-friendly interface and AI-based insights, AMAL improves adherence, reduces preventable complications, and empowers patients to maintain healthier routines with confidence and safety.

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