Our project was designed to help inform adolescent parents on how to identify, treat and prevent common childhood illnesses using a magazine-style booklet.
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DataML.io is a website designed to house examples for different areas of studies for machine learning. In the modern day, data is ever-growing and analyzing all the data would require lots of people to do it. To save resources, this is where machine learning can help you or your business!
With the integration of a secure login/sign-up process, users can view multiple examples within the site and ensure their information is kept secure with the implementation of Open Authentication and AWS User Pools.
Machine learning is a field of artificial intelligence that focuses on creating systems and algorithms that can learn and improve from data without being explicitly programmed. With DataML.io, the aim is to display machine learning examples that can be showcased to users how it analyzes data and recognizes patterns to help with future predictions, develop models, or perform tasks without specific instructions.
With the world becoming increasingly digital, even an in-home bakery needs a website to help drive business. Our e-commerce website for Country Home Baking and Sweets aims to make maintaining a webpage so easy that someone who has never touched anything IT-related can easily create, update, and delete menu items.
Previously, our client maintained their internet presence through Facebook business pages. Due to many negative changes to this functionality, they have been unable to maintain their previous presence online. Our client emphasized their need for a simple upkeep, but a professional design. Our website has a home page, online ordering menu, contact page, and cart. Our client can update announcements and menu items from the admin portal with just a few clicks. All this functionality is wrapped up with a modern, sleek design aimed to be eye-catching for any clientele new or old. We hope our project helps Country Home Baking & Sweets’ business in all the ways we aim for.
The project goal is to design web and mobile applications to improve the current method of recording various categories of event information. This application will track medical volunteer geolocations to supply adequate support in emergency events and events, volunteer, and inventory information. The end goal of the project is to create web and mobile applications that will accurately manage event/inventory information for supervisors and medical volunteers to access.
The client works with different organizations to provide first aid volunteers and medical supplies for various events. Event information is currently being tracked with Excel spreadsheets. This application will replace Excel data tracking, allowing all volunteers and organizers to access and manage event information.
The client requested a Web Application that would allow for a streamlined and accurate collection of 3D Prints that are requested of the MakerSpace 3D Print Lab. Fulfilling a set of critical criteria, the MakerQueue application aims to streamline user interaction and minimize structural changes. By introducing modifications to the main interface, including an advanced print job list with search and sorting capabilities, and individual job management options, the criteria of simplified user interactions and an intuitive platform for 3D printing project management are met.
During our twelve week community health clinical placement at the Parkdale Food Centre (PFC), our student RN team contributed to the creation of a grassroots, evidence-based 10-week “Advocacy in Motion” (AIM) workshop series, aimed at equipping individuals living in poverty/food insecurity in Ottawa’s Hintonburg region with knowledge and skills to advocate for issues central to their lives. Interventions focused on community connection and capacity building for collective social justice action to create healthier, more equitable neighbourhoods in Ottawa, and beyond.
Our project aimed to address the need for a robust 24/7 surveillance system employing two web cameras for real-time person detection and tracking. The client required a solution that could accurately monitor and log hourly and total detections, offering a comprehensive view of the surveillance environment.
Our team implemented HAAR cascade classifiers for upper body detection and KCF trackers for person tracking in the captured frames. The system not only logged detection counts for each camera but also maintained a timestamped Excel file, providing hourly and cumulative counts for efficient monitoring and analysis. The user-friendly interface displayed live feeds from both cameras, with detection counts updated every 30 minutes.
Throughout the development process, we encountered challenges related to detection accuracy, leading us to explore potential enhancements. We learned to balance the intricacies of computer vision techniques and real-world application, gaining insights into the dynamic nature of surveillance scenarios.
Incorporating user feedback and iterative testing, we refined the system to achieve optimal performance. While the current implementation serves as a foundational solution, we recognize the potential for further advancements. Future recommendations include exploring deep learning models for enhanced accuracy, integrating real-time alerts, and optimizing the system for diverse environmental conditions.
Our project represents a significant step toward an intelligent surveillance system, laying the groundwork for real-time monitoring applications. The combination of HAAR cascade classifiers and KCF trackers offers a versatile solution applicable in various scenarios. The project not only met the client’s requirements for continuous monitoring but also provided valuable insights for future enhancements.
Explore our interactive demo to experience the seamless integration of detection and tracking in a live surveillance environment. We invite you to witness the potential of our system in revolutionizing real-time monitoring, paving the way for advancements in surveillance technology.
Fostering Independence at The OAKs, involves diving into the lives and daily routines of residents at a Managed Alcohol Program at 1057 Merivale Rd in Ottawa. Following these individuals, the team was able to see “The Pour”, a medically regulated scheduled alcohol administration every hour on the half hour. We see the world of harm reduction working at its finest within the safe gated community of this program. Here we are able to see the sense of community, a safe place to sleep and 3 square meals a day eaten. Working alongside staff, the team of students were able to create opportunities for residents to find brain engaging recreational activities. These healthy forms of entertainment enables people to have the choice, thus, independence in a different aspect in their life. Using resources in the community, student facilitated activities, and utilizing resident preferences, the team was able to construct a poster with planned activities tailored to the needs of the residents.
We were contracted by Andrew McDonald of the First Peoples Innovation Centre (FPIC) to design a hide-and-seek game using micro:bits. These micro controllers are incredibly popular in the UK as an education tool, but has yet to make waves in North America. The coding for them is incredibly simple and easy to get into, while being affordable. With such a low barrier for entry, this game will be easy to set up and fun to play, and act as an inspiration for students to get into computer science. The goal of this project is to combine the educational aspect of a pop quiz with the fun aspect of running around and searching for things.
The game is simple. An instructor will perform the setup through our application; making the clues, writing the questions and their respective answers, and then loading those questions on to “beacon” micro:bits. They will then hide these beacons around the school/classroom. Next, they hand out “seeker” micro:bits to groups of students along with the list of questions and clues. Then the hunt begins! The students will use the clues to find a beacon. When the student gets within one meter of a beacon the seeker will light up. They can then press both buttons to request the question from the beacon. They scroll to what they think is the right answer, press both buttons to lock it in, and then the seeker tells them if they got the question correct. Then it’s off to find the next beacon.
One of the biggest challenges with this project was all of the radio functions. With several micro:bits all sending out various signals, we had a huge issue where they would sometimes pick up signals when they weren’t supposed to. For example, with our first prototype the beacons would constantly broadcast a signal giving away their location. Other beacons would interpret this as an incorrect answer to their question. We had to include all sorts of checks to make sure that only the right radio signals would be interpreted.
Our project presents an advanced computer lab reservation platform, meticulously crafted with Python and Django for robust backend functionality, while employing HTML, CSS, and JavaScript for a seamless and intuitive user interface. This system offers a comprehensive solution for managing and scheduling computer lab resources, ensuring an efficient and user-friendly booking experience. Designed to cater to educational and professional environments, it streamlines the process of lab allocation, thus optimizing the usage of technological resources.