2 Years Impact Factor:
2.85
5 Years Impact Factor: 1.53
Author: G. Showrya Reddy, Abdul Mujeeb, S. Rohit Dilip, K. Radha
Abstract:
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. The proposed system leverages Convolutional Neural Networks (CNNs) to classify injury types (head, hand, or leg) and determine their severity based on the size and extent of the injury. By integrating this classification with a recommendation system that suggests hospitals specializing in the required treatment, the approach ensures that victims receiv
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