In collaboration with Pinecrest-Queensway Community Health Center (PQCHC), we aimed to address Adverse Childhood Experiences and their impact on children’s development. Our project emerged from the recognition of a knowledge gap in the community about ACEs. Consequently, we focused on the specific programs offered by PQCHC that empowered parents with effective strategies and resources. Our goal was to promote these programs so families could access support and reduce the effects of ACEs.
In-Class Project Showcase December 2024
This project investigates the integration of AI within Les Promenades Gatineau shopping center to enhance customer interactions, reduce operational costs, and improve security. By collecting primary data through surveys and discussions with mall visitors and stakeholders, our research aims to provide actionable insights into the benefits and challenges of AI in retail environments. The outcomes are expected to support the mall in its competitive positioning and customer service goals within the Ottawa-Gatineau region.
The purpose of the study is to investigate the effectiveness of marketing and promotions at shopping centres by examining their impact on foot traffic, consumer interest, sales, and length of stay. We will be conducting our research through surveys, discussion groups, and previous data collected.
Feedback and information will be provided back to our client following our completion.
This project aims to investigate consumer preferences regarding shopping malls by analyzing factors that influence their choice of malls to visit. Through a structured survey, we will gather data on various aspects such as location, store variety, promotions, dining options, and entertainment facilities. The insights gained will help identify key trends and preferences among shoppers, ultimately providing valuable recommendations for mall management and retailers to enhance customer experience and increase foot traffic.
We are enhancing Radha and Jay Jayaraman’s wellness website by improving user experience, adding administrative tools, and managing sign-ups for yoga and spiritual healing programs, with a focus on promoting health and wellness.
The Tech Titans, a team of Algonquin College students, is developing a Python application aimed at enhancing the existing capabilities of ML4Cyber by integrating OWASP dependency checks. This new feature is designed to assist cyber security analysts and IT professionals in identifying vulnerabilities within code bases, libraries, and directories, which is currently not supported by the existing system. By providing ML4Cyber with this new OWASP dependency check functionality, The Tech Titans aim to significantly improve the ability of cyber security professionals to detect vulnerabilities in their systems. This project not only addresses a critical gap in the existing software but also positions ML4Cyber for enhanced security and regulatory compliance in an ever-evolving cyber landscape.
HarmonyHome is an app for mobile devices, utilizing AI to improve tonality of text messages to improve communication in relationships with positive reinforcement and educational insights.
Our project offers Ideabytes’ clients a system that can predict future values and detect performance anomalies with a decent level of accuracy using a machine learning model trained on the client’s specific IoT device. Using this machine learning model one can find previously unseen patterns and trends within datasets and make predictions of potential issues in the future, such as efficiency degradation or potentially broken equipment. The end goal is to give users a warning beforehand to avoid potentially spoiling merchandise or causing interruptions in production efficiency.
Key results of the model include:
– Learns from previously recorded data without any human guidance
– Predicts future data points with an accuracy of above 70%
– Detects anomalous data points that do not fit within the anticipated pattern
– Alerts the user if data has gone outside acceptable thresholds
A mock environment was developed to imitate the production environment of Ideabytes for the model to execute within. This way, once completed, it’d be easily integrated into Ideabytes’ existing ecosystem and immediately available for clients without any headache.
Project Abstract
This project introduces Open Ottawa’s capabilities in an engaging video, demonstrating how accessible data empowers residents and businesses to make informed decisions for the community’s benefit. The video simplifies Open Ottawa’s offerings and encourages its use across different demographics.
Project Background
Project Background
Open Ottawa provides residents with valuable datasets on topics like traffic, demographics, and the environment. Although rich with insights, the platform’s potential is often overlooked by everyday users due to unfamiliarity with its tools. This project aims to bridge that gap by illustrating Open Ottawa’s practical uses.
Approach
Approach
To make Open Ottawa’s benefits tangible, we developed a narrative-driven video that speaks directly to diverse groups—parents, business owners, students, and community members. By using real-life examples and clear visualizations, the video guides viewers on how to leverage Open Ottawa for personal, professional, and community improvement.
Solution
Solution
The final video simplifies the experience of Open Ottawa, showing practical, everyday uses for the platform in an accessible format. With relatable examples, visual storytelling, and a call to action, the video positions Open Ottawa as an invaluable tool for empowering citizens and fostering community engagement.
Shopful is a user-friendly platform, allowing customers to search for items and find nearby stores efficiently. The website will offer an intuitive interface, minimizing the hassle of traditional shopping and avoiding delivery issues common with online shopping, while revitalizing physical stores.
The end users are individuals who avoid crowded malls, busy professionals, and parents shopping last minute, as well as tech-savvy consumers who prefer to avoid delivery or return issues.