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The project offers a user-friendly app to combat driver fatigue. It utilizes a camera sensor to detect real-time drowsiness by analyzing eye aspect ratios, providing timely alerts. Users can register, personalize their experience, and receive customized detection. The intuitive interface includes a warnings page for tracking drowsiness patterns.
This depository is Homework 6 for Doing Data Science 6306 Section 401 Tuesdays at 9:30 - 11:00 PM EST, Cohort 2017 Spring semester at SMU -- "DDS-HW6" for short. Authors: Yao Yao, Jason Cessna, Steven Stevenson. This project was submitted through GitHub on RStudio version 1.0.136.
This Data Science case study is based on the real-life project given by Bertelsmann/Arvato Financial Services located in Germany and Udacity as a capstone project of a Data Science Nano Degree. This project is also about Unsupervised learning and customer segmentation.
Virtual AI painter using OpenCV and Mediapipe is an application that tracks the movement of an object. Using this tracking feature the user can draw on the screen by moving the object (which in our project is the human hand) in the air, in front of the webcam.
This depository is Case Study 1 for Doing Data Science 6306 Section 401 Tuesdays at 9:30 - 11:00 PM EST, Cohort 2017 Spring semester at SMU -- "DDS-Case-Study-1" for short. Author: Yao Yao. This project was submitted through GitHub on RStudio version 1.0.136.