GroundTruth KYC

Autonomous KYC system powered by Agentic AI, Vision Transformers, DynoV3, RLHF, and Self-Supervised Learning

About the Project

GroundTruth KYC is designed to revolutionize identity verification by leveraging advanced AI models to automate and optimize KYC processes. The system learns autonomously, adapts to new documents, and ensures reliable verification backed by trusted sources.

Key Features

Agentic AI: Autonomous agents make real-time KYC decisions.
RLHF & Self-Supervised Learning: Continuous model improvement with minimal human supervision.
Vision Transformers (ViTs) & DynoV3: Analyze ID documents, selfies, and videos.
Grounding & Referencing: Cross-check data against trusted external sources.
Observability Metrics: Track agent performance, accuracy, and reliability.

Technologies Used

Agentic AI

RLHF

Self-Supervised Learning

Vision Transformers (ViTs)

DynoV3

Grounding & Referencing

Python, GitHub Pages

Impact

GroundTruth KYC reduces errors and manual workload, accelerates customer onboarding, and sets a new standard for secure, scalable, and adaptive identity verification in fintech and digital services.

Contact

For more information or collaboration inquiries, please reach out via GitHub or email.