Project Proposal: NEHEMIAH

(Network Enhancement for Humanitarian and Emergency Monitoring, Intelligence, Analysis, and Healing)

Project Summary

Nehemiah is the cornerstone project for Black Shield International, demonstrating our commitment to leveraging cutting-edge machine learning (ML) and natural language processing (NLP) technologies to address both internal organizational needs and external humanitarian missions. The platform provides advanced capabilities in security, emergency management, operational intelligence, and risk analysis. It supports Black Shield International’s mission by enhancing situational awareness, enabling effective mission planning, and ensuring community resilience. Built on a React 18 frontend and NestJS backend, with PostgreSQL, Nehemiah incorporates a diverse set of tools including OpenAI API, FreeTAKServer, GeoServer, and Cesium to process, analyze, and visualize data from a wide range of sources.

Key Features

• Intelligence and Mission Planning with ISR Integration: Leveraging ISR capabilities to enhance real-time situational awareness, mission planning, and execution.
• Content Management System (CMS): To provide user and administrative documentation.
• Public Alerts Interface: For posting critical incidents and humanitarian concerns.
• Drone Integration & RTSP Camera Feeds: To gather intelligence in real-time, integrated into operational management modules.
• ERP and HRM Functionality: Integrating functions like fundraising, organizational management, employee roles, training, and logistics.

Project Plan

1. Backend Development & Database Integration

The backend will be built on NestJS, with a focus on creating scalable server-side operations. PostgreSQL with PostGIS will be used for efficient geospatial data handling. We will also integrate Redis for caching and real-time data processing to handle high-speed requirements for certain parts of the platform.

2. Frontend Development & User Experience Design

The frontend will utilize React 18 to provide an intuitive and responsive user experience. Key areas of focus will be designing a clear, functional UI for all user roles, with special attention to visualization elements such as maps and dashboard-style data presentations.

3. Integration of External APIs and Data Sources

This stage involves connecting to various external APIs for data enrichment and incorporating live data feeds to enhance analytical capabilities. Notable integrations will include OpenAI’s GPT-4 for data analysis, as well as FreeTAKServer and GeoServer for geospatial data.

4. Security, Compliance, and Testing

We will implement comprehensive security measures, including role-based access control (RBAC) to ensure data security and user privacy. API keys and WebAuthn using YubiKey will be employed to strengthen the authentication process. Thorough unit, integration, and penetration testing will be conducted to safeguard the system.

5. Deployment and User Training

The deployment phase will include server provisioning and containerization (using Docker) to ensure scalability. We will also provide training modules for different user roles to maximize operational utility, focusing on intelligence gathering, reporting features, and incident management.

Feature Map & Architectural Description

Intelligence, Surveillance, and Reconnaissance (ISR) Integration: The platform incorporates advanced ISR tools to provide detailed intelligence, which supports mission planning and operational decision-making.

Core Architectural Components:

• Backend Framework: The backend is based on NestJS, supporting a microservices architecture. PostgreSQL (with PostGIS) allows for efficient management and processing of geospatial data.
• Real-Time Data Processing: Leveraging Redis and Socket.IO, Nehemiah will offer dynamic data streaming and real-time communication, essential for effective emergency response.
• Geospatial Analysis & Mapping: FreeTAKServer, GeoServer, Cesium, and MapBox GL are integrated into Nehemiah to provide comprehensive mapping capabilities and advanced geospatial analysis tools.
• Data Analysis & Machine Learning: Through the integration of Synaptic.js, Natural.js, LangChain, and OpenAI API, the platform will support advanced searches, predictive modeling, and NLP capabilities.
• Aid Requests and Disbursement Module: Integrated functionality for managing aid requests, disbursements, and communications with stakeholders.
• Intelligence and Analysis Module: Tools like the AnalyzeService will perform pattern detection, relationship analysis, anomaly detection, and NLP tasks.

Key Modules Developed

• Aid Requests Module: A full-featured system to handle aid requests from different requestors (e.g., public, partner organizations).
• Intelligence Analysis Module: Incorporates advanced NLP and ML to analyze user data, discover relationships, detect anomalies, and predict events.
• Commandery Management Module: For the organizational units of Knights Hospitaller International (KHI).
• Chat & Notification System: A communication platform using WebSocket, providing features for real-time messaging, notifications, and team coordination.

Deployment Strategy

• Infrastructure Setup: Utilizing Docker and Proxmox for containerization and virtualization.
• Backend Services Deployment: Deploying NestJS services on dedicated virtual machines (VMs).
• Database Integration: PostgreSQL and Redis instances for managing operational data.
• Training and Testing: Providing training materials, live sessions, and documentation for all types of users.

Expected Outcomes

Comprehensive Security and Operational Management: Nehemiah is expected to enhance both internal security management and external operational capabilities, from emergency response to routine security checks.

Improved Organizational Efficiency: Modules like Commandery Management and Aid Disbursement help streamline KHI’s internal processes, providing a holistic view of operations.

Enhanced Situational Awareness: By integrating geospatial analysis, machine learning, and real-time data visualization, we aim to improve situational awareness during emergencies or critical incidents.

Timeline and Milestones

• Phase 1: Backend & Database Setup (3 Months) – Complete setup of the NestJS backend, PostGIS integration, and Redis.
• Phase 2: Frontend and API Integration (2 Months) – Develop the React 18 frontend. Integrate external APIs (OpenAI, GeoServer, FreeTAKServer).
• Phase 3: Security Implementation & Testing (1 Month) – Implement WebAuthn (YubiKey) and role-based access control. Conduct penetration and unit testing.
• Phase 4: Deployment & User Training (1 Month) – Deploy the platform on Proxmox VMs. User training and documentation roll-out.

Budget Overview

• Hardware Costs: $10,000 (Server setups, sensors, UAV integration)
• Software Licenses & Tools: $5,000 (Mapping services, security modules)
• Development and Personnel Costs: $40,000 (Developer salaries, training personnel)
• Miscellaneous: $5,000 (Testing, marketing, user onboarding)

Total Budget Estimate: $60,000

Conclusion

Nehemiah is the cornerstone of Black Shield International’s strategy to integrate cutting-edge technologies into operational and humanitarian missions. By leveraging geospatial intelligence, real-time communications, and deep integration of analysis tools, Nehemiah significantly enhances security, emergency response, and community resilience capabilities. It serves as both an internal tool for the organization’s efficiency and an external asset that can support humanitarian operations effectively, positioning Black Shield International as a leader in technological innovation for security and relief missions.

We look forward to furthering discussions to finalize the project milestones and allocate resources efficiently.