Secure Cloud Infrastructure for Altvis, Inc. / Woundscan

The project aims to develop a unified, secure, and scalable AWS cloud infrastructure for Altvis, Inc. / Woundscan, focusing on supporting both iOS and Web applications, including a new AI voice transcription service. The primary goal is to establish a HIPAA-compliant environment that ensures robust security for all data. This involves creating a secure cloud architecture that adheres to industry standards and best practices. Additionally, the project will involve setting up Continuous Integration and Continuous Deployment (CI/CD) pipelines to automate deployments for both platforms. This will allow for efficient updates and maintenance, ensuring that the infrastructure can scale as needed while maintaining security and compliance. The project provides an opportunity for learners to apply their knowledge of cloud computing, security protocols, and DevOps practices in a real-world scenario. This project's objective is to build the foundational cloud infrastructure that will power the entire Woundscan ecosystem. The goals are to design, deploy, and document a secure, scalable, and HIPAA-compliant AWS infrastructure that serves both our iOS and web applications. This is a critical project focused on creating a production-ready environment from the ground up, implementing security best practices for protecting sensitive patient data, and establishing automated CI/CD pipelines to ensure reliable and repeatable deployments. The final infrastructure must be auditable and resilient, forming the backbone of our commercial offering.

Woundscan Brand Identity and Marketing Page Development

Altvis, Inc. / Woundscan seeks to establish a cohesive and compelling brand identity that resonates across all platforms, including their iOS app, web app dashboard, and public-facing materials. The project aims to create a comprehensive branding guide that encapsulates the essence of Woundscan, ensuring consistency in visual and messaging elements. This guide will serve as the foundation for designing a modern, informative marketing landing page. The landing page should effectively communicate Woundscan's value proposition, highlighting its unique features and benefits to potential customers. By achieving a unified brand presence, Woundscan aims to enhance its market visibility and customer engagement. The main objective of this project is to establish a strong, professional, and consistent brand identity for Woundscan. In the competitive health-tech space, a trustworthy and clear brand is essential for market adoption. The goals are to translate our mission into a compelling visual identity and create a modern marketing landing page that effectively communicates our value proposition to our target customers in home health and hospital systems. This project will define the look and feel for our entire product suite, ensuring a cohesive user experience across all platforms.

Woundscan AI Documentation & Transcription Dashboard Webapp

The Woundscan AI Documentation & Transcription Dashboard project aims to enhance the efficiency of wound care management by developing a web application tailored for clinicians. The primary goal is to create a user-friendly dashboard that integrates AI-powered documentation features and a voice transcription service, allowing clinicians to dictate notes seamlessly. This application will sync with Altvis, Inc.'s existing AWS backend, ensuring data security and reliability. By providing a streamlined desktop experience, the project addresses the need for efficient documentation and transcription in clinical settings, reducing manual entry errors and saving time for healthcare professionals. The project will focus on creating a secure, intuitive interface that meets the specific needs of wound care specialists. The main objective of this project is to build and deploy the Woundscan web application, a secure and intuitive dashboard designed for clinicians. This project expands on our mobile-first MVP by creating a powerful desktop experience for reviewing wound data and streamlining documentation. The primary goals are to develop an AI-powered documentation feature that auto-populates clinical notes and to implement an innovative AI voice transcription service, allowing clinicians to dictate notes seamlessly. This application will sync with our AWS backend, ensuring data security and reliability while addressing the critical need for efficient documentation in clinical settings, ultimately reducing manual entry and saving valuable time for healthcare professionals.

Woundscan iOS App Core Feature Implementation

The Woundscan iOS App Core Feature Implementation project aims to enhance the functionality and accuracy of the Woundscan app, a tool designed to assist healthcare professionals in wound assessment. The primary focus is on integrating ARKit with LiDAR technology to achieve precise wound measurements, ensuring that the app's computer vision and mathematical algorithms are accurate and reliable. Additionally, the project seeks to refine the AI model's capability to detect and analyze wounds effectively. Another key aspect is developing a seamless multi-wound session and documentation workflow, which will be presented through a polished SwiftUI interface. This project provides learners with the opportunity to apply their knowledge of iOS app development, ARKit, and AI model refinement in a practical setting, contributing to a real-world healthcare solution. This project's main objective is to advance our existing iOS MVP by implementing key clinical workflow features and ensuring the highest level of accuracy for our core measurement technology. The primary goals are to validate and refine the mathematical algorithms that process LiDAR and computer vision data for wound measurement, ensuring they meet our defined accuracy targets. Additionally, this project will focus on building out the multi-wound session management and the in-app documentation hub, creating a seamless capture-to-documentation workflow for clinicians on the go.