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Unfortunately distracted driving has become all too common these days with advent of smart phones and social media.\n\nComputer vision solutions based on machine learning image classification algorithms can be effectively used to detect inattentive drivers using any sort of dashboard cameras and alert drivers.\n\n### Demo\n\u003cb\u003eBackend:\u003c/b\u003e FastAPI to take image as requests and respond with prediction result using trained Resnet ML model to make predictions. FastAPI Docker container image is deployed and hosted on Heroku.\n\n\u003cb\u003eFrontend:\u003c/b\u003e ReactJS application, Hosted on GitHub pages.\n\nCheck out Phase 1 demo which uses the trained Renet-50 model to predict unlabelled test images\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsushmitha-93%2Fdistracted_driver_detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsushmitha-93%2Fdistracted_driver_detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsushmitha-93%2Fdistracted_driver_detection/lists"}