Project Information
CareConnect is a powerful solution for streamlining clinic management and enhancing patient experience. Our scalable, integrated web application helps medical professionals efficiently handle their day-to-day operations, from managing electronic health records and patient data to scheduling appointments and managing medical staff. With CareConnect, medical professionals can instantly access critical patient information and accurately maintain comprehensive health records. This enables more seamless communication, effective diagnosis and higher quality care. We understand the essential role technology plays in connecting doctors and patients, which is why our software is designed to optimize their interaction at every touchpoint. Say goodbye to disorganized records, missed appointments and excessive costs. Our easy-to-use software reduces overhead expenses while avoiding manual errors and delays. It provides instant access to key data, enabling faster, more informed decisions and optimizing resources. We believe that every patient deserves high-quality care, and every practice deserves financial freedom and operational control. We invite you to benefit from streamlined workflows, actionable insights and continued progress - all while staying focused on the heart of your work: caring for patients. Together, we are revolutionizing management so you can elevate care.
Project Information
Welcome to the CheckMyPlant app, an app designed to detect disease and health of plants. Take a picture of the plant, upload it on a phone or computer, and the app does the rest of the work. The app has many uses, including producers who want to quickly check plants, anyone working in plant food supply chains, and the consumer at the grocery store or at home. The plant detection market and plant disease detection market are very similar and have overlap, with several apps in the market who charge the consumer for usage. The market leading plant apps are designed to be free for consumer use but charge for business and high-volume access.
CheckMyPlant was designed for expansion with more plant images and expansion of computing resources, the app can achieve even more. With the advent of cloud computing, and the multi-disciplinary field of Data Science, the app makes excellent use of computer vision (how computers understand what is in a picture), neural networks (computer thinking using mathematical models), and cloud computing (for service delivery) to provide speedy and excellent service. During development, the team used an iterative approach to building CheckMyPlant, completing a feature and leaving room for further development in the future, creating a truly modern and forward-facing app.
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The goal of this project is to develop a machine learning model capable of classifying network traffic data into two categories: good traffic and bad traffic. The model will be trained using a network traffic dataset, which contains traffic-related features such as packet size, traffic duration, etc.
Network traffic is a fundamental aspect of device-to-device communication, and its analysis plays a vital role in ensuring network security. Network security is becoming increasingly important as more devices are connected to networks, and attackers are increasingly targeting these networks to obtain sensitive information or compromise critical systems. In this project, we will investigate the use of machine learning techniques to classify network traffic data.
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A new student entering Canada comes with a lot of difficulties settling into the country and finding the right information support needed to get through. The international student support website is a platform designed to provide essential resources and support to international students who are pursuing their academic careers abroad. This website is a one-stop-shop for all international students' needs, including Id's required in Canada and immigration information, academic, personal and professional support and a forum to connect with other international students. The website is an essential resource for international students as they navigate their academic journey in a foreign country. It provides students with information that can help them make informed decisions about their academic, personal, and social life. It also offers support to help students overcome any challenges that may arise as they adapt to a new academic and cultural environment.
Project Information
Phishing attacks have become a significant threat to individuals and organizations, with cyber criminals using various techniques to steal sensitive information. Our latest project aims to combat these malicious activities by utilizing Machine Learning to detect and prevent phishing attacks.
Our approach uses multiple Machine Learning modules that analyze URL parameters to identify malicious websites accurately. By comparing the results from each module, we can generate a more precise outcome, reducing the risk of false positives or negatives.
We believe that our feature-based approach can provide early warning signs of potential phishing attacks, allowing you to take preventive measures before any damage occurs. We invite you to learn more about our project and how it can benefit you in the fight against cybercrime.
Project Information
The project of Team Juan focuses on a web application to host online recipes. It will use JSON files hosted on a MongoDB server, front and back-end developed with HTML, CSS, JavaScript (NodeJS framework).
The need for this project arose from the need of learning new recipes from other people, especially when living alone. Many students came from another country to study in Canada, and they have to learn how to cook by themselves for the first time, thus having a place with many recipes provided by users will be really useful.
Our objective is to have a place where people can upload their ideas for recipes, developing a community and helping people learn new recipes.