Smart ambulance allocation
| dc.contributor.author | Khan, Tabrez | |
| dc.contributor.author | Panchkutti, Nabil [22CO35] | |
| dc.contributor.author | Mohamed Fazil [22CO27] | |
| dc.contributor.author | Khan, Mohd. Aaquib [22CO21] | |
| dc.contributor.author | Shaikh, Mohd. Zain [22CO53] | |
| dc.date.accessioned | 2026-08-20T05:08:42Z | |
| dc.date.available | 2026-08-20T05:08:42Z | |
| dc.date.issued | 2026-06 | |
| dc.description.abstract | This project presents a Smart Ambulance System designed to improve emergency medical response by reducing ambulance dispatch time and enhancing coordination among users, ambulances, and hospitals. The system allows users to report accidents through a chatbot interface by providing details such as location, accident description, and number of injured people, which are then sent to the backend for processing. A logical decisionmaking approach is used to evaluate the severity of the situation, based on which the system selects the nearest available ambulance and identifies the most suitable hospital considering factors like distance, availability, and real-time conditions. The system also calculates the Estimated Time of Arrival (ETA), including the time required to reach the accident spot and transport the patient to the hospital, while taking traffic conditions and route optimization into account. After processing all the information, the ambulance is automatically dispatched, and a live tracking link is generated and shared with the user, ambulance team, and hospital for real-time monitoring of location and arrival time. This system improves communication among all stakeholders, reduces response time, and enhances resource allocation, thereby providing a scalable and efficient solution for modern emergency healthcare management. | |
| dc.identifier.uri | http://aiktc.ndl.gov.in/handle/123456789/4561 | |
| dc.language.iso | en_US | |
| dc.publisher | AIKTC | |
| dc.title | Smart ambulance allocation | |
| dc.type | Project Report |