DeepBark: Dog Breed Classification with Image Segmentation and Localization
Developed a deep learning model to accurately predict the breed of dogs, achieving an overall accuracy score of 96% across 70 different dog breeds.
Integrated Machine Learning Model For Comprehensive Heart Disease Risk Assessment Based On Multi-Dimensional Health Factors
This project processed and analyzed 438,693 records of data from the 2021 BRFSS data from CDC. Machine Leaning models were utilized to predict the risk of developing CVDs by only using personal lifestyle factors.