SAMYUKTHA B

Self-Driving Cars using Machine Learning

• Developed machine learning models for object detection, classification, and tracking in self-driving car applications.
• Implemented computer vision algorithms using OpenCV to process camera and LiDAR sensor data for autonomous driving tasks.
• Designed and trained convolutional neural networks (CNNs) to recognize traffic signs and road markings in real-time., Conducted experiments to evaluate the performance of different machine learning and computer vision approaches in self-driving car scenarios.
• Optimized neural network architectures and hyperparameters to improve accuracy and reduce inference time., Conducted data analysis and preprocessing to create high-quality datasets for training and testing machine learning models.

OSHA fatality prediction

• Developed and implemented a machine learning model to predict workplace fatalities in accordance with OSHA guidelines.
• Analyzed and processed large data sets related to workplace incidents and injuries to identify patterns and trends using Python and data analytics tools.
• Utilized supervised and unsupervised machine learning techniques, such as decision trees, clustering, and regression, to identify risk factors and predict potential fatalities., Validated model accuracy and refined the model by incorporating feedback and new data from OSHA reports and industry sources.
• Maintained knowledge of emerging technologies and best practices in machine learning and workplace safety to continually improve the accuracy and efficacy of the model.