/distracted_driver_detection

Developed a Distracted Driver Detection system utilizing computer vision algorithms. Achieved an accuracy of 86% using TensorFlow and Keras models. Implemented model ensembling with VGG16, VGG19, and ResNet50 to optimize performance and reduce output time by 90 seconds. Created a user-friendly web application for real-time analysis of camera feed.

Primary LanguageJupyter Notebook

distracted_driver_detection