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https://github.com/fatimaafzaal/optimizing-emergency-medical-service-response-time

This is a web application that gets user's input location and find shortest path to the nearest hospital using A* algorithm and also show it visually through graph by networkx library
https://github.com/fatimaafzaal/optimizing-emergency-medical-service-response-time

astar-algorithm astar-pathfinding flask graph matplotlib matplotlib-pyplot networkx networkx-graph pathfinding python webapp

Last synced: 20 days ago
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This is a web application that gets user's input location and find shortest path to the nearest hospital using A* algorithm and also show it visually through graph by networkx library

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# Optimizing Emergency Medical Service Response Time
This is a web application that gets user's input location and find the nearest hospital using A* algorithm and also show it visually through graph by networkx library. The main features of our project include:

1. Welcome through voice at the start of the app
2. Finding the shortest path to the nearest hospital
3. View location on google maps
4. Visualization by showing graphs
5. Visualization by highlighting the shortest path on the graph

**Front page:**

When the app started the computrized voice welcomes by saying "Welcome to the Emergency service"

![image](https://github.com/fatimaAfzaal/Optimizing-Emergency-Medical-service-Response-Time-/assets/99525339/5d2bddcc-60ed-4b06-8d00-1d7283b3fc3b)
This page will ask user to select emergency location and by pressing find path it goes to next page as well as when this page appears audio says "Welcome to the Emergency Service"

![image](https://github.com/fatimaAfzaal/Optimizing-Emergency-Medical-service-Response-Time-/assets/99525339/7d3cd33a-8157-4073-a5d8-34817a69d80a)

This graph displayed is through networkx and matplotlib library. Also user can see the location of that nearest hospital on Google maps.