Efficient ambulance dispatch is crucial for timely medical assistance, particularly during emergency situations. Traditional dispatch methods often fall short in deploying optimization techniques, leading to operational delays and inefficiencies. This project addresses these challenges by proposing an optimized system harnessed by Python programming. The primary objective revolves around enhancing healthcare provisions by minimizing the dispatcher’s workload, curbing potential errors by the dispatcher and also in reduction of vehicle emissions using optimized routing. Further, timely arrival of ambulances significantly contributes to mitigating mortality rates in emergency situations.
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