The project aims to develop essential components of an open-source health platform for Rapidte.st by Abundant.Science. The platform's primary function is to accurately read lateral flow tests, securely store the results, and facilitate sovereign data sharing. The project will implement Signal Protocol for end-to-end encryption, ensuring that all data transactions are secure and private. Additionally, AI-powered algorithms will be integrated to enhance the accuracy and reliability of test readings. The project is designed to be completed within 60 hours over four weeks, allowing learners to apply their knowledge of encryption, AI, and software development. The goal is to create a robust, user-friendly system that can be easily integrated into existing health platforms, providing a secure and efficient solution for managing lateral flow test data.

Project creation considerations:

• Students should have strong software development skills
• Experience with mobile development, encryption protocols, and AI/ML preferred
• Work can be completed remotely with regular team collaboration
• Tasks are modular but interconnected, requiring good communication

Project Scope and Expectations: Students will develop a mobile-first application capable of capturing, analyzing, and securely storing rapid test results. The platform will implement the Signal Protocol for end-to-end encryption while maintaining HIPAA/PHIPA compliance and enable sovereign control over health data sharing.

Benefits for Students:

• Hands-on experience with cutting-edge security protocols
• Real-world AI/ML implementation
• Exposure to healthcare compliance requirements
• Portfolio piece demonstrating full-stack development
• Open-source contribution experience

The project deliverables include a functional prototype of the lateral flow test reader with integrated AI-powered test reading capabilities. Additionally, the platform must include a secure data storage solution utilizing Signal Protocol for encryption. Documentation detailing the system architecture, encryption implementation, and AI integration will also be provided. The final deliverable is a demonstration of the platform's capabilities, showcasing its accuracy and security features.

Project Details:

Week 1: Architecture and Setup

• Establish development environment
• Design system architecture
• Begin implementation of core components

Week 2: Core Functionality

• Implement test image capture and analysis
• Develop initial AI/ML pipeline for test reading
• Create secure data storage framework

Week 3: Security Implementation

• Integrate Signal Protocol encryption
• Implement user authentication
• Develop permission management system

Week 4: Integration and Testing

• Connect all components
• Perform security testing
• Document codebase and APIs

Final Deliverables:

1. Functional prototype application with: Test image capture and analysis capability, Implemented Signal Protocol encryption, Basic user authentication and permissions
2. Technical documentation including: Architecture diagrams, API documentation, Security implementation details
3. Test suite and performance metrics
4. Source code with clear documentation