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ai based id decttionn & screening documents

2026

Data & Analytics◦
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TITLE PAGE SMART INDIA HACKATHON 2026 • Problem Statement ID – 21688 • Problem Statement Title- AI-powered Fake Identity & Document Screening System • Theme- miscellaneous • PS Category- Software • Team ID- • Team Name – Team GCA
IDShield AI: AI-Assisted Identity & Document Risk Screening 2 @SIH Idea submission- Template Team GCA 01 PROPOSED SOLUTION AI-powered decision support for border checkpoints IDShield AI analyzes passports, IDs and visas in real time by combining document forensics, facial identity verification and consistency checks. It then generates an explainable risk assessment while keeping the final decision with authorized officers. 02 HOW IT ADDRESSES THE PROBLEM 0 1 Fake Documents OCR + MRZ + forensic analysis identifies altered passports, visas and travel permits. 0 2 Document Tampering Detects modified photographs, altered fields and manipulated security stamps. 0 3 Identity Impersonation Compares the live traveller with the document photograph in real time. 0 4 Manual Screening Burden Prioritizes suspicious cases, reducing screening time and improving consistency. 03 INNOVATION & UNIQUENESS 01 Integrated Pipeline Document validation, tampering detection and identity verification operate together in one workflow. 02 Explainable AI Every risk signal includes evidence and officer- readable reasoning—no black-box output. 03 Cross-Document Consistency Finds identity relationships and hidden mismatches across multiple submitted documents. 04 Audit Trail Maintains a complete digital record for review, investigation and accountability. HUMAN-IN-THE-LOOP AI provides structured intelligence and risk explanations; authorized officers make every final determination.
TECHNICALAPPROACH 3 @SIH Idea submission- Template Team GCA 0 1 INTAKE Officer dashboard Document upload Image quality check 0 2 EXTRACTION OCR + MRZ extraction Field validation 0 3 FORENSICS Tampering detection Face verification 0 4 INTELLIGENC E Identity consistency Risk scoring Explainable evidence 0 5 DECISION Officer review Authorized decision AI decision flow: Capture Extract Verify Analyze Human-authorized decision → → → → Technology Stack Key Feature Modules Layer Technologies Frontend React + TypeScript • Tailwind CSS • shadcn/ui • Recharts Backend Python FastAPI • PostgreSQL • SQLAlchemy • RBAC middleware AI / CV OpenCV • PaddleOCR • InsightFace / ArcFace • PyTorch Security HTTPS • encrypted storage • audit logging • role-based access Deployment Cloud-ready architecture • future edge/offline capability Document Intelligence Automatic information extraction + structured field validation MRZ Validation Machine-readable zone parsing and comparison with printed data AI Forensics Tampering, manipulation and anomaly detection Face Verification Live/recorded identity comparison with document photograph Identity Consistency Cross-document checking across multiple submitted records Explainable Risk Engine Clear reasons and evidence behind every risk flag
FEASIBILITY AND VIABILITY 4 @SIH Idea submission- Template Team GCA 1 FEASIBILITY ANALYSIS TECHNICAL Mature OCR, computer vision and face-recognition frameworks such as PaddleOCR, OpenCV and ArcFace support a practical prototype. OPERATIONAL Fits digital checkpoint workflows. Human-in-the-loop review keeps final decisions with authorized officers. DEPLOYMENT Cloud-ready architecture supports central deployment, with future edge/offline processing for remote checkpoints. 2 DEVELOPMENT ROADMAP 1 MVP Core document screening OCR / MRZ validation 2 AI- ENHANCED Forensics module Face verification 3 EDGE / OFFLINE Local model deployment Remote checkpoints 4 GOV. INTEGRATIO N Authorized database/API Future phase 3 CHALLENGE MITIGATION STRATEGY Low-quality images Quality checks, recapture prompts and manual review fallback. Sophisticated forgeries Multi-signal forensic analysis using independent detectors. Face-quality issues Quality assessment, liveness detection and human verification. Data privacy Encryption, RBAC, minimum retention and secure deletion. Remote connectivity Edge/offline mode, local models and store-and-sync architecture. 4 Prototype uses synthetic/demo data only. No live government database access; future integration requires authorized APIs, permissions and compliance approval.
IMPACT AND BENEFITS 5 @SIH Idea submission- Template Team GCA IDSHIELD AI VALUE FLOW 0 1 FASTER Automated screening reduces manual effort 0 2 SMARTER Multi-signal analysis supports better decisions 0 3 SAFER Early anomaly detection strengthens security 0 4 SCALABLE Modular architecture supports future expansion KEY BENEFITS SPEED Automated multi-signal screening reduces processing time at busy checkpoints. ACCURACY SUPPORT OCR, MRZ, forensic analysis and facial verification provide multiple evidence signals. STANDARDIZ ATION Rule-based, evidence-backed workflows improve consistency across officers and locations. INVESTIGATI ON Identity links and audit trails support review, investigation and reporting. IMPACT CATEGORIES SOCIAL More consistent identity verification builds trust in frontline screening. OPERATIONAL Faster processing through standardized, structured workflows. SECURITY Earlier risk signals improve detection of anomalies and inconsistencies. TECHNOLOGICAL Modular AI design supports explainability and future edge/offline capability.
RESEARCH AND REFERENCES 6 @SIH Idea submission- Template Team GCA HOW THE FOUNDATION CONNECTS 0 1 RESEARCH What to detect OCR • MRZ • Forensics • Biometrics 0 2 STANDARDS How to validate ICAO • NIST • OWASP • Official guidance 0 3 TECHNOLOGY How to build PaddleOCR • OpenCV • InsightFace 0 4 PROTOTYPE How to test safely Synthetic data • Human- authorized decisions RESEARCH DOMAINS COVERED Six connected areas of intelligence used in the screening workflow Document Intelligence OCR & structured field extraction MRZ Validation Machine-readable zone consistency checks Document Forensics Tampering and manipulation analysis Face & Liveness Identity comparison and presentation checks Explainable AI Evidence-based risk reasoning Identity Consistency Cross-document relationship analysis EVIDENCE & REFERENCE ARCHITECTURE References grouped by the role they play in the solution STANDARD S ICAO Doc 9303 NIST FRVT TECHNOLOG Y PaddleOCR • OpenCV InsightFace / ArcFace SECURITY Document Forensics OWASP ASVS GOVERNANC E Ministry of Home Affairs Authorized future integration PROTOTYPE DATA BOUNDARY