Efficient Route Prediction Using ML Algorithm

This project aims to address the issue of road traffic accidents by providing a tool to predict accidents using US. Accidents Information. The tool helps reduce accident risks and encourages wiser decisions when traveling. The web interface allows for easy exploration and connects formulas, data display, and research procedures. The dashboard predicts the likelihood of traffic accidents and is powered by Python on the back-end and JavaScript, HTML, and CSS on the front-end. Linear Regression emerged as the best algorithm in tests due to its precision, memory, and accuracy. The openweathermap.org API provides real-time weather information, and the Google API facilitates route mapping. The technology enhances road safety by combining machine learning, data analysis, and live APIs to enable alert decision-making.