Al-Based Fake Identity & Document Screening System
Deadline & Submissions20 September 2026Submitted Ideas: 0/500
Problem Description
• Background Common challenges faced at border checkpoints:
• Fake passports and visas
• Altered photographs
• Modified dates of birth
• Tampered visa stamps
• Identity impersonation
• Multiple identities used by the same person Expired or blacklisted travel documents
• High passenger volume causing delays Current verification methods rely heavily on human inspection and basic database lookups.
• Detailed Description Border checkpoints process thousands of identity documents every day,including passports, visas, national identity cards, permits, and travel authorizations. Manual verification is time-consuming, prone to human error, and often unable to detect sophisticated forgeries, tampering, or identity fraud.Develop an Al-powered document screening platform that automatically analyzes identity and travel documents, detects signs of tampering or forgery, validates information against rules and databases,and generates a risk score to assist border security personnel in making faster and more accurate decisions.
• Expected Solution
• Module 1: OCR Extraction
• Module 2: Document Validation
• Module 3: Tampering Detection
• Module 4: Face Detection Module 1: OCR Extraction Objective: Automatically extract all relevant information from identity documents.
Inputs:
• Passport image
• Visa image
• National ID image
• Driving license
• Permit documents Extracted Fields:
Passport
• Name
• Passport Number
• Nationality
• Date of birth
• Date of expiry
• Gender Visa
• Visa Number
• Visa Type
• Entry Validation
• Stay Duration Module 2: Document Validation Objective: Verify whether the extracted information follows official document standards.
Module 3: Tampering Detection (Core AI Innovation)
Objective: Detect digitally or physically altered documents.
Use Cases:
• Photo Replacement
• Text Manipulation
• Stamp Forgery Detection
• Image Metadata Analysis Module 4: Face Verification Objective: Ensure document owner matches the presented individual.
• Expected Impact
• Reduce document verification time from several minutes to a few seconds.
• Improve detection of forged and tampered documents.
• Standardize screening decisions across checkpoints.
• Enable data-driven risk assessment instead of purely manual inspection.
• Create a digital trail for investigations and intelligence analysis.
Possible Project Name Al-Based Fake Identity & Document Screening System.
Independent Community Platform
This problem statement was compiled directly from the official Smart India Hackathon portal (sih.gov.in/sih2026PS). Always verify rules, templates, and deadlines on the official portal before submitting.