Cryptocurrency risk scoring services list
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Updated
Dec 10, 2022
Cryptocurrency risk scoring services list
Cryptocurrency hacks list
A collection of medical calculations in Python. Example: MELD score for liver disease.
A heuristic risk scorer for cloud assets leveraging MITRE ATT&CK mappings and tags to evaluate and score risks. This tool helps in identifying, prioritizing, and mitigating potential vulnerabilities within cloud environments.
This repo reports a comprehensive fraud detection system that evaluates different ML models, including a more complex Neural Network model with and without SMOTE balancing. This analysis will include feature engineering, model evaluation, and risk scoring for customers.
This project conducts customer credit risk assessment by preprocessing the data, applying various models, and evaluating their performance with and without SMOTE (Synthetic Minority Over-sampling Technique) to address class imbalance.
This project conducts customer credit risk assessment by preprocessing the data, applying various models, and evaluating their performance with and without SMOTE (Synthetic Minority Over-sampling Technique) to address class imbalance.
Anomaly detection system for security risk identification in audit logs using Isolation Forest algorithm. Features automated CI/CD ML workflows with Azure DevOps for continuous model deployment and real-time alerting capabilities.
OpenSiteTrust is an open, explainable, and reusable website scoring ecosystem
CSV and Excel risk register templates with scoring fields, examples, and guidance for executive reporting.
An AI-driven risk assessment tool that evaluates users' login input data (e.g. timing, user label and behavior) to calculate a dynamic risk score. Features include mock data generation, labeled training sets, weighted scoring, and deep learning-based predictions.
RugWatch is a real-time Solana rugpull and honeypot detection bot. It monitors new token launches across major DEX ecosystems, analyzes on-chain risk signals (authorities, liquidity, trading rules), and alerts via Telegram and Discord with a clear risk score.
Rules based KYC Risk Scoring Dashboard -SQL and PowerBI. Automates customer classification into Low/Medium/High risk tiers using onboarding data.
National-scale vaccine distribution system deployed during COVID-19. Used by Iranian Ministry of Health to optimize allocation for 90 million people. VBA-based optimization engine for crisis response decision support
Fake review detection using TF-IDF & SVM (AUC 0.98), plus Counterfeit Risk Score with clustering & anomaly detection.
Actuarial data science project analyzing insurance claims to identify potential fraud and assess customer risk. Includes Python preprocessing, feature engineering, and a stakeholder-ready Tableau dashboard.
🛡️ A modern KYC verification API with intelligent risk scoring, real-time fraud detection, and interactive Swagger documentation.
TypeScript client for DemoMed API: scoring, retries, pagination, data quality detection, auto submit.
Machine Learning based risk assessment of Dengue cases across urban areas of Dhaka. This project analyzes survey-based data using multiple ML models to identify high-risk communities, uncover socio-demographic patterns, and support public health decision-making.
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