Genetic Algorithm based Dynamic Scheduler and Route Planner for Ambulance Management System, developed in Python.
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Updated
Mar 18, 2019 - Python
Genetic Algorithm based Dynamic Scheduler and Route Planner for Ambulance Management System, developed in Python.
A Monte Carlo method to evaluate the impact of change in infrastructure on ambulance response time (A case of the London Tower Bridge closure) 🚑
Ambulance Booking System
Ambulance Karo is a web application that aims to provide a convenient and efficient way to request an ambulance. The app is built with the PERN stack (PostgreSQL, Express.js, React, and Node.js) and uses JWT authentication for secure user login.
A cloud-based solution for ambulances operation that monitors and keep track of patients' conditions.
Repository per il codice AMPL e la relazione del progetto di Ricerca Operativa dell'Università di Padova (a.a. 2022 - 2023)
A dashboard for managing ambulances.
RAPID RESCUE is a web-based e-ambulance application that allows users to request emergency services, track ambulances in real-time, and manage medical profiles. It provides features for users, admins, and EMT drivers, ensuring a streamlined experience for emergency response management. Built with ASP.NET Core MVC, the platform ensures scalability,
A project that simulates Ambulance Managment System with native UI
A Comprehensive Solution for Healthcare Management
AI-driven system to optimize ambulance placement using Deep Embedded Clustering and Cat2Vec. Analyzes real-world accident, road, and weather data to reduce emergency response time and improve public safety.
A centralized system for managing ambulance services across multiple hospitals, utilizing data structures to optimize ambulance allocation and improve emergency response times.
A Comprehensive Solution for Healthcare Management
A Flutter-based mobile application designed to digitize and streamline pre-hospital patient care reporting. It replaces cumbersome paper forms, reducing administrative overhead and improving the accuracy and speed of emergency medical data collection.
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