Portfolio

2019

Deep Learning Application for Predicting Cherry Blossom Opening Date

This porjec involves using Deep Learning Framework consisting of two models, one for predicting weather information and another for predicting cherry blossom opening date. This application is very useful for National Park Agencies in identifying the opening date of Cherry Blossoms and prepare for the festival accordingly. The deep learning framework show about 4.5 accuracy in predicting the cherry blossom opening date 4 months prior to the festival.


Skills: Python, tensorflow, SQL, Deep Learning

Abdullah Shabarek