An AI-driven system that automates Aadhaar-based KYC by extracting card details using OCR, cleaning and structuring the text, generating test data, storing records in a database, and exposing API routes for uploads and verification. It streamlines identity validation workflows while reducing manual effort and processing errors.

Comprehensive portfolio showcasing AI/ML applications in fraud detection, including foundational EDA, transaction fraud, identity fraud, and KYC/AML compliance systems.

AI-powered KYC system designed to verify customer identities

Multi-agent AI system for automated KYC verification, document processing, and compliance workflows

An offline AI-powered KYC document processing system that extracts structured data from Bulgarian ID cards using Tesseract OCR and local LLMs (Mistral 7B via Ollama). Built with React/TypeScript frontend and Node.js backend, featuring Docker containerization for easy deployment.

A modern Know Your Customer (KYC) verification system that uses artificial intelligence for face matching and document verification. This system provides a seamless way to verify user identity through document validation and facial recognition.

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Multi-Agent AI system for KYC verification using LangGraph state machines & Google Gemini. Features Aadhaar/PAN/Passport verification, OCR support, 3-tier memory (Redis + Mem0), Flask web UI, and FastAPI backend.

AI-powered KYC verification system using Flask and DeepFace.

🔐 Automated KYC compliance verification system with AI-powered document validation, identity verification, and regulatory compliance tracking

Full-stack migration support platform — .NET 8 Clean Architecture API with Gemini AI chat, SignalR SOS system, KYC verification, community system, AI place recognition and voice translator. React 18 frontend.

LoanEase — Agentic AI personal loan system where a Master Agent orchestrates specialized agents across KYC verification, credit underwriting, loan recommendation & negotiation. Features XGBoost risk scoring, SHAP explainability, OCR-based KYC, blockchain sanction letters & WhatsApp integration.

Multi-agent AI system for real-time fraud detection, credit risk assessment, KYC identity verification, and sanctions screening. Built with XGBoost, LightGBM, and IsolationForest for sub-100ms latency.

Reference implementation for secure, compliant voice AI in regulated financial workflows — demonstrating safe GenAI integration with enterprise systems (e.g., pre-auth KYC/activation flows in payments/credit ecosystems).

Identified critical AI governance gaps: no adversarial testing, undocumented third-party models, and missing incident response. Delivered roadmap to secure high-risk KYC and transaction monitoring systems against evolving threats.

A robust AI-powered KYC verification system for Indian Government IDs (Aadhaar & PAN). Uses OpenCV, EasyOCR, and Verhoeff algorithms to validate IDs, detect faces, and identify QR patterns even in low-resolution or blurry images.

Video KYC Verification System is a full-stack AI-powered platform that streamlines digital identity verification using OCR for Aadhar/PAN documents and speech-to-text transcription of user videos. Built with Python (Flask), JavaScript, and modern web technologies, it ensures secure and efficient customer onboarding.

AI-Powered Loan Compliance & Origination Operating System for Nigeria. Automate LMA documentation, CAC filings, and KYC checks."

AI-powered Digital KYC verification system using DeepFace (VGG-Face) to compare ID card images with live camera captures. Includes face detection, blur validation, and multi-face prevention for secure identity authentication.

Production-ready AI KYC verification system with computer vision and real-time web interface

AI powered KYC verification system prototype

AI-powered KYC Identity Verification System.

VerifyIQ – AI-powered KYC verification system that automates identity document validation using OCR, image processing, and AI-based data extraction APIs built with Python, Django, and Tesseract.

AI-KYC system: OCR + Face Recognition + Liveness + Risk Scoring + Admin Dashboard. Fully automated identity verification pipeline.

A serverless, privacy-first KYC module built on AngularJS. It utilizes Edge AI (Tesseract.js & Face-API.js) to perform instant Aadhaar OCR extraction, Verhoeff validation, and biometric face matching entirely within the browser, eliminating backend costs and data risks.

This project implements an AI based solution to automate Know Your Customer (KYC) processes. It streamlines document verification, face matching, and liveness detection through a FastAPI-powered backend, improving speed, accuracy, and scalability in domains like banking, insurance, and fintech.

This project implements an AI-based solution to automate Know Your Customer (KYC) processes . It streamlines document verification, face matching, and liveness detection through a FastAPI-powered backend, improving speed, accuracy, and scalability in domains like banking, insurance, and fintech.

No description available

No description available

No description available