PREDICTING ROAD ACCIDENT SEVERITY AND RECOMMENDING HOSPITALS USING DEEP LEARNING TECHNIQUES
Keywords:
Convolutional Neural Networks, Deep learning, AI-driven approachAbstract
The objective of this work is to develop a deep learning-based system that accurately predicts the severity of road accident injuries and recommends the most suitable hospital for treatment based on the identified injury. The title "Predicting Road Accident Severity and Recommending Hospitals Using Deep Learning Techniques" indicates that this project focuses on utilizing advanced AI methods to
assess accident outcomes and provide timely medical assistance. Historically, injury assessment and hospital recommendations relied on manual evaluation by first responders or emergency personnel, which could delay critical care. Traditional systems lacked the precision and speed needed to accurately determine injury severity, often leading to suboptimal treatment decisions.
References
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