Overview

Streamlining USCIS Document Validation Using Artificial Intelligence

The United States Citizenship and Immigration Services (USCIS) oversees the adjudication of various immigration benefits, from naturalization to visa applications. Despite progress in addressing backlogs, USCIS faces challenges processing millions of cases annually, many of which are delayed by errors, inconsistencies, or fraudulent submissions. This project leverages Artificial Intelligence (AI) to enhance USCIS operations by automating form validation and raising flags for anomalous documents, supporting expedited adjudication while maintaining accuracy and security.

Solution 

Solution:

The proposed system integrates cutting-edge AI techniques, including image analysis, Large Language Models (LLMs), and Natural Language Processing (NLP), to create a twofold approach:

1. Automated Form Validation and Anomaly Detection: The system identifies errors, inconsistencies, and incomplete submissions, providing immediate feedback to petitioners to reduce delays.
2. Forgery Detection in Attachments: Advanced visual, semantic, and case-based analysis that flags inconsistent and anomalous documents, such as falsified marriage or birth certificates, signaling high-risk cases for further scrutiny.

The project will also deliver Python-based software, a user manual, and implementation guidelines, ensuring a practical and scalable solution for USCIS adjudicators.

Impact 

The AI-enabled document validation system promises transformative improvements in USCIS operations, including:

• Faster Adjudication: Automation reduces processing times and eliminates delays caused by Requests for Evidence (RFE), cutting case review times by up to six months.

• Enhanced Accuracy and Security: The system flags suspicious cases for priority review, allowing adjudicators to focus resources on high-risk submissions.

• Reduced Backlogs: By streamlining workflows and minimizing manual reviews, USCIS can significantly decrease the backlog of over 4 million pending cases.

• Improved Service Quality: Timely and transparent processing enhances customer satisfaction and trust in USCIS processes.

This innovative project aligns with the Department of Homeland Security’s priorities to enhance efficiency and ensure the security of the immigration system, offering scalable solutions for long-standing challenges in document validation and fraud detection.

Research Leadership Team 

Vivek Singh, Associate Professor, Rutgers University,

Fred Roberts, Distinguished Professor and Director of CCICADA, Rutgers University