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Nexus Core Algorithm: A Real-Time Multi-Corridor Optimization System for Affordable International Remittances in Sub-Saharan Africa

Domaine:

socioeconomicdigital infrastructure

Type de record:

softwaremodel
Créateur:
Nde
Éditeur:
Zenodo
Hôte:avatar

1Percent Finance is an open-source algorithmic system that reduces international remittance costs from industry averages of 8.5% to a flat 1% fee. The core innovation is Nexus Core, a real-time multi-corridor optimization algorithm that dynamically scans financial corridors to identify optimal transfer routes.

Developed in Kinshasa, Democratic Republic of the Congo, this solution specifically addresses the financial burden faced by the African diaspora when sending money home. The system implements a four-layer architecture for real-time payment routing optimization and has been validated through extensive simulation testing.

Technical Implementation

The repository contains a complete production-ready implementation including:

· Nexus Core Algorithm: Proprietary optimization engine for finding minimum-cost remittance routes

· RESTful API: Full-featured API for quote generation and comparison

· Web Application: Modern Next.js frontend with real-time calculator

· Infrastructure: Docker Compose setup with PostgreSQL, Redis, and microservices architecture

· Testing Suite: Comprehensive unit and integration tests

· Documentation: Architecture specifications, API documentation, and deployment guides

Research Context

This software implements the algorithmic approach described in the accompanying research paper "Nexus Core Algorithm: A Real-Time Multi-Corridor Optimization System for Affordable International Remittances in Sub-Saharan Africa". The system demonstrates:

· 71.4% cost reduction compared to PayPal (3.5% → 1%)

· 88.2% cost reduction compared to Western Union (8.5% → 1%)

· 99.2% success rate in optimal route identification

· 142ms average processing time for routing decisions

The implementation directly contributes to UN Sustainable Development Goal 10.c, which targets reducing remittance transaction costs to less than 3%.

Usage

The system supports:

· Real-time fee comparisons across multiple providers

· Optimal route calculation based on amount, source, and destination

· Simulation environment for testing different routing scenarios

· Production deployment with health monitoring and logging

Files Included

· Source code for backend API (Node.js/Express)

· Frontend application (Next.js/React)

· Docker configuration for containerized deployment

· Database schemas and migration scripts

· Test suites and performance benchmarks

· Technical documentation and architecture specifications

Related Publications

This implementation is the technical foundation for research on affordable remittance systems and has been designed to enable further academic study and commercial implementation of low-cost international payment solutions.

Funding

This project was independently developed with the goal of increasing financial inclusion and reducing the cost burden on diaspora communities.

Visit

doi.org

Tags

Fintech, Remittances, Algorithmic Optimization, Sub-Saharan Africa, Financial Inclusion, Open Source, Cost Reduction

Licenses

info:eu-repo/semantics/openAccessMIT Licensehttps://opensource.org/licenses/MIT

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