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AI-Powered KYC Intelligence: CKYCRR 2.0 & GPU Acceleration

Explore CKYCRR 2.0 AI features: GPU-accelerated face matching, OCR, deduplication, and goal-driven agentic AI for banks and citizens.

#kyc#ai#fintech#gpu-acceleration#banking-technology#document-verification#agentic-ai#blockchain
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CKYCRR 2.0

CKYCRR 2.0
AI Capabilities

Deduplication · GPU Acceleration · Agentic AI Use Cases

Protean eGov Technologies × CERSAI
Made byBobr AI
CKYCRR 2.0

Existing Key AI Features

AI-Powered KYC Deduplication & Verification

1
Data Initialization
Fetch KYC records, extract images, convert to Base64
2
OCR Processing
Extract structured fields from Aadhaar, PAN, Passport, DL, Voter ID
3
Data Validation
Mandatory field checks, consistency validation, error flagging
4
Photo Matching
AI Face Match API: OVD photo vs. RE-uploaded photo → similarity score
5
Demographic Matching
Priority matching: PAN/OVD for Confirmed; Name+DOB+Gender combos for Probable
6
Similarity Analysis
DeepFace & TensorFlow FR; match list generated for manual QC
Confirmed Match
Unique CKYC ID assigned
Probable Match
Flagged for manual Quality Control (QC)
AI Libraries
DeepFace & Face Recognition via TensorFlow
Protean eGov Technologies × CERSAI
Made byBobr AI

GPU For Efficient AI Computation

From CPU Bottleneck to Real-Time AI Performance

The Challenge

CPU-based face embedding is slow per image

Cannot handle concurrent face matches, deduplication, and OCR at scale

High watt-per-inference; latency spikes under load

GPU Advantage

Face Match

Near real-time embeddings produced and compared at scale

OCR

Parallel document processing — extract fields and verify authenticity

Deduplication

Rapid 1-to-many searches across central registry

GPU Engine

GPU shifts workloads from CPU to parallel compute → consistent low latency · higher throughput · lower energy per verification

Made byBobr AI

Way Forward — Agentic AI Use Cases

Goal-Driven AI Agents Across the CKYCRR Ecosystem

Citizen-Facing (CKYC Holders)
KYC Update Assistant
Conversational agent guides address/doc updates; pre-validates image quality; tracks end-to-end.
Consent Management Agent
Explains data-sharing requests in plain language; flags stale consents; executes consent decisions.
Status & Query Agent
Instantly answers "why is my CKYC inactive?", "where is my update?"; escalates only when needed.
AI Voice Agent (IVR)
Hindi/English phone channel; tiered auth (generic = no login, personal = mobile + DOB); full audit log in portal.
RE-Facing (Banks, NBFCs, Insurers)
KYC Fetch & Due Diligence Agent
Highlights data quality issues, flags probable duplicates, gives RM a decision-ready summary.
Compliance & Periodic KYC Agent
Identifies expiring records, drafts refresh communications, tracks response rates, flags non-compliance.
AI Voice Agent (IVR)
Hands-free ops queries; auto-identifies caller via registered mobile; session-code secondary auth; activity trail.
These are not chatbots — they are goal-driven agents that take a task to completion across multiple steps, with context and memory.
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AI-Powered KYC Intelligence: CKYCRR 2.0 & GPU Acceleration

Explore CKYCRR 2.0 AI features: GPU-accelerated face matching, OCR, deduplication, and goal-driven agentic AI for banks and citizens.

CKYCRR 2.0

CKYCRR 2.0<br/>AI Capabilities

Deduplication &middot; GPU Acceleration &middot; Agentic AI Use Cases

Protean eGov Technologies &times; CERSAI

Existing Key AI Features

AI-Powered KYC Deduplication &amp; Verification

CKYCRR 2.0

Protean eGov Technologies &times; CERSAI

GPU For Efficient AI Computation

From CPU Bottleneck to Real-Time AI Performance

The Challenge

CPU-based face embedding is slow per image

Cannot handle concurrent face matches, deduplication, and OCR at scale

High watt-per-inference; latency spikes under load

GPU Advantage

Face Match

Near real-time embeddings produced and compared at scale

OCR

Parallel document processing &mdash; extract fields and verify authenticity

Deduplication

Rapid 1-to-many searches across central registry

GPU shifts workloads from CPU to parallel compute → consistent low latency · higher throughput · lower energy per verification

Way Forward &mdash; Agentic AI Use Cases

Goal-Driven AI Agents Across the CKYCRR Ecosystem

Citizen-Facing (CKYC Holders)

RE-Facing (Banks, NBFCs, Insurers)

KYC Update Assistant

Conversational agent guides address/doc updates; pre-validates image quality; tracks end-to-end.

Consent Management Agent

Explains data-sharing requests in plain language; flags stale consents; executes consent decisions.

Status & Query Agent

Instantly answers &quot;why is my CKYC inactive?&quot;, &quot;where is my update?&quot;; escalates only when needed.

AI Voice Agent (IVR)

Hindi/English phone channel; tiered auth (generic = no login, personal = mobile + DOB); full audit log in portal.

KYC Fetch & Due Diligence Agent

Highlights data quality issues, flags probable duplicates, gives RM a decision-ready summary.

Compliance & Periodic KYC Agent

Identifies expiring records, drafts refresh communications, tracks response rates, flags non-compliance.

AI Voice Agent (IVR)

Hands-free ops queries; auto-identifies caller via registered mobile; session-code secondary auth; activity trail.

These are not chatbots &mdash; they are goal-driven agents that take a task to completion across multiple steps, with context and memory.

  • kyc
  • ai
  • fintech
  • gpu-acceleration
  • banking-technology
  • document-verification
  • agentic-ai
  • blockchain