Repository with ODRL policies for DUO concepts and demo implementation of the odrl:Offer - odrl:Request matching algorithm for DUO
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Updated
Oct 21, 2024 - Python
Repository with ODRL policies for DUO concepts and demo implementation of the odrl:Offer - odrl:Request matching algorithm for DUO
🔏 CakePHP plugin that provides field-level (column) encryption within the application layer before data is stored or transmitted to the database, supporting regulatory compliance, zero-trust security, end-to-end encryption, and contextual awareness.
This project, Contract Compliance, was developed as part of a project for the Contract Lifecycle Management module in the Management Information Systems program at ESPRIT University. It focuses on automating the monitoring and enforcement of contractual obligations to ensure regulatory compliance and minimize operational risks.
# ⚖️ LEGAL COMPLIANCE TOOL ⚖️ ## THIS IS A GDPR COMPLIANCE CHECKER ## NOT A MALICIOUS SCANNER OR PHISHING TOOL ## WE HELP ORGANIZATIONS COMPLY WITH EUROPEAN DATA PROTECTION LAW
Eziokwu: Heart-centered AI accountability framework for verifying algorithmic decision-making and organizing evidence for regulatory evaluation. Truth infrastructure built on Igbo philosophical principles.
Webpage for the "ODRL Profile for Expressing Consent through Granular Access Control Policies in Solid" paper submitted to COnSeNT 2021
Compliance360 is designed to assist South African businesses in understanding, managing and ensuring compliance with various laws, regulations, and industry standards.
Problem Statement : Aerial Location of Hazardous Atmosphere in Industries (Ministry of Home Affairs).
The displayed project is a Gen AI powered data analysis workflow starting from raw data handling to delivering PPT based recommendations to the clients based on the insights drawn from that data. At every stage of the process Gen AI was used to increase operational efficiency.
Evaluating the trade barriers imposed on the export of HS 570232 to Switzerland and other potential destinations
A comprehensive case study on implementing predictive modeling in insurance
Think of Argos as a watchdog for algorithmic trading. It uses cutting-edge AI to analyze trading strategies and identify potential legal and regulatory violations. With a focus on explainable AI, Argos goes beyond just flagging issues – it provides clear explanations, fostering trust and transparency.
The most rigorous, up-to-date library for validating Nigerian mobile numbers. Fully NCC-compliant, and security-focused, with enterprise-grade features to prevent the business risks of validation failures in regulated industries.
XPLIA - State-of-the-art AI explainability library (2025). Features multimodal explainability, fairwashing detection, uncertainty quantification, and regulatory compliance tools for trustworthy AI systems.
Designed a comprehensive Regulatory Reporting Simulator to replicate large-bank reporting processes under U.S. regulatory requirements. Engineered automated workflows for data consolidation, error detection, and regulatory submission formats. Delivered a realistic sandbox for compliance analytics and audit simulations.
This repository presents a comprehensive research paper exploring the role of Explainable Artificial Intelligence (XAI) in modern Machine Learning. It aims to shed light on the interpretability of 'black-box' models like Neural Networks, Explainable AI and highlights the need for transparent, human-understandable ML systems.
Noble Global Services Public Repository hosts projects and assessments specializing in notary services, compliance consulting, and cybersecurity. It includes multiple branches, each covering key areas such as cybersecurity assessments, service agreements, and regulatory compliance.
$5M capital facilities project management with engineering coordination and regulatory compliance
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