Ai-enhanced Pharmacy Medi-track App For Healthcare And Smart Medicine Management

• Author(s):

  Mrs. S. R. Saranya | Sivashakthi K | Ragul G | Mani G

• Keywords:

  Artificial Intelligence, Healthcare Management, Medication Adherence, Machine Learning, Prescription Management, Smart Pharmacy, Patient Analytics.

• Abstract:

  The Rapid Advancement Of Digital Health Technologies Has Created New Opportunities To Transform Traditional Pharmacy And Patient Medication Management Systems Into Intelligent, Interconnected Platforms. The AI-Enhanced Pharmacy Medi-Track System Is A Comprehensive Healthcare Management Solution Engineered To Automate And Optimize Core Processes, Including Online Physician Appointment Scheduling, Smart Medicine Tracking, AI-driven Drug Recommendations, Electronic Prescription Management, And Real-time Medication Intake Alerts. Built Using Python, Flask, And A React-based Frontend, The System Integrates Machine Learning Models Trained On Clinical Datasets To Generate Personalized Drug Suggestions Based On Patient History, Diagnosed Conditions, And Allergy Profiles. A Dedicated Notification Engine Leverages Push Alerts And SMS Gateways To Ensure Patients Adhere To Prescribed Regimens. The Backend Is Supported By A PostgreSQL Relational Database, Enabling Secure And Scalable Storage Of Patient Records, Transactional Pharmacy Data, And Longitudinal Health Histories. Furthermore, A Built-in Analytics Dashboard Provides Healthcare Providers With Actionable Insights Derived From Aggregated Patient Data. This Research Presents The Architecture, Design Rationale, Implementation Strategy, And Performance Evaluation Of The Proposed System, Demonstrating Its Potential To Reduce Medication Errors, Enhance Patient Compliance, And Streamline Pharmaceutical Workflows Across Diverse Healthcare Environments.

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Other Details

• Paper id:

  IJSARTV12I3104803

• Published in:

  Volume: 12 Issue: 3 March 2026

• Publication Date:

  2026-03-29

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