Machine Learning based Entity Resolution to identify Human Trafficking.
Carnegie Mellon University RI Summer Scholars' '15)



This project was carried out as part of the Carnegie Mellon University's RI Summer Scholars' program and was mentored by Prof. Artur Dubrawski from the Auton Lab at CMU. My work was part of the DARPA MEMEX program inorder to build domain specific tools to identify and isolate instances of Human Trafficking online.

Our entire pipeline and the domain specific insights we discovered have been detailed in the paper,
'An Entity Resolution approach to isolate instances of Human Trafficking online'.

The results of our study were also concluded in the form of a poster presented at the end of the 11 weeks long internship. Which is available below

Final Poster