Cybersecurity Risk Assessment on Telepresence Solution

TeleVU is a startup Ontario tech company offering an innovative telepresence software platform using Smart Glasses, Augmented Reality (AR) and Artificial Intelligence (AI) to allow remote medical assistance and medical training with no geographic barriers. We have already launched the products and the solution is being used by Canadian and international healthcare organizations. Our solution is cloud-based and 100% made in Ontario. We are already working towards ISO 27001 certification. While we have done internal testing and security assessment, we have not completed an external body to evaluate our systems yet. Your team will be responsible for a full evaluation of our solution from a cybersecurity perspective and providing feedback and recommendations on how to improve our cybersecurity measures.

Cloud Data Privacy Strategy

The goal of this project is to analyze the different data privacy requirements in different jurisdictions, and to provide recommendations/strategy on how to structure the data infrastructure in order to appropriately adhere to the different regulations and requirements around the world. WellnessWrx will operate a platform that will have users globally, and the data storage and usage will need to adhere to local requirements. The strategy/implementation document will focus on Location of data/servers Access (anything else?….)

Create Our Vector Database (AI/ML & LLM)

DifferentMatters is developing the latest methodology and application to help everyday people find belonging. In order to accelerate our pace to market, we need to create content specific to our IP so that our application then becomes a portal to unique experiences for each individual. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model that will create a vector database to support our development of content, and eventually lead to user-content access as our platform evolves. This will involve several different steps for the students, including: Conducting background research on the simplest way to create our database for usability by non-technical users. Analyzing our current dataset. Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem.

Backend Development for Generative AI application

The main goal for the project is to build a backend for a Generative AI application on a cloud platform for Ecomtent, a fast-growing venture-backed startup. The backend should support the superhuman AI to automate ecommerce marketplace marketing. The project will involve the following tasks: - Understanding the requirements and goals of the Generative AI application. - Developing the backend architecture and infrastructure on a cloud platform. - Integrating the backend with the Generative AI model and ensuring scalability and reliability. - Implementing security measures and best practices for data handling and processing.