The purpose of this work is to build a large-scale image search engine that searches for images relevant to a given natural language query and return them in order of similarity. The search engine was built using different machine learning techniques and comparing their efficiency. It is coded in Python. This project consisted of a Kaggle competition to be completed to the best of our abilities within approximately a week.
I worked in a team to complete this challenge at Cornell Tech, NYC.
For more information on the full project click on the link to the respository!
