Enhanced Road Safety Through Intelligent Accident Detection and Automated Emergency Intimations

In the lively environment, every countdown and click of clock marks the loss of life. To address this, we have designed an App Application that aims at offering hasty crisis or urgency contingency medical Acknowledgement to patients. The services provided my Ambulance is considered as Keystone of Urgency healthcare, providing essential Conveyance and care. However, Patients commonly encounter limited access to emergency vehicle contacts, making it very difficult to search for an guidance or support during an emergency. With a high rate of increase in the usage of smart phones and mobile applications, we have reached at a resolution. The ground breaking project combines React Native and a Convolutional Neural Network (CNN) to develop a state-of-the-art mobile application for law enforcement, empowering the real time detection of accident. A diligently organized datasets which is taken from kaggle, with resizing of the images streamline the training. By leveraging transfer learning, the geogrphical features will be directly extracted from the data through the integration of the CNN, assuring precise prediction of the accident through the durable performance indicators like precision and recall. The notifications will be swiftly enabled by the react native application, utilizing the deep learning methodology for enhancing the safety of road and advanced deep learning technology to enhance road safety and Optimize emergency response. The objective is to optimize emergency services, cutting down response and transport durations.