Smart India Hackathon
SIH26188

Al-Based Fake Identity & Document Screening System

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Metadata & Specs

Department

Sashastra Seema Bal (SSB), Police II Division

Category

Software

Theme

Miscellaneous

Deadline

20 September 2026

Submitted ideas

0/500

Problem Description & Statement Details

  • 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.

Ministry of Home Affairs · Software · Deadline 20 September 2026

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