Leverage advanced machine learning to optimize pharmacy inventory. Predict demand, reduce waste, and ensure medicines are always available when patients need them.
Revolutionizing pharmacy inventory management with cutting-edge predictive analytics
Most pharmacies lack intelligent systems to classify high-demand medicines, leading to costly operational issues including stockouts, overstocking, and expired inventory. Existing systems don't leverage advanced ML models to categorize medicines into clear demand levels.
MediPredict implements a secure, easy-to-use prediction platform using XGBoost classification to analyze historical sales data. Our system categorizes medicines into high, medium, or low demand levels, enabling pharmacies to optimize inventory and improve patient care.
Everything you need to transform your pharmacy inventory management
Easily upload historical pharmacy sales data in CSV format for seamless processing and comprehensive analysis.
Advanced machine learning algorithm that accurately classifies medicines into distinct demand levels with high precision.
User-friendly interface displaying prediction results with visual charts, graphs, and detailed reports.
Quickly find medicines by usage, symptoms, or category with our intelligent search functionality.
Visualize monthly usage patterns and identify seasonal trends in medicine demand over time.
Role-based authentication ensures secure access to sensitive pharmacy data and predictions.
BS Information Technology Students at Eastern Visayas State University
BS Information Technology
Developer & ResearcherBS Information Technology
Developer & ResearcherBS Information Technology
Developer & ResearcherEastern Visayas State University, Tacloban City
Eastern Visayas State University
College of Engineering
Department of Information Technology
Tacloban City, Leyte
Capstone Project for
BS Information Technology
Academic Year 2024-2025
Presented: August 2025