Image Style Transfer is a deep learning artificial intelligence model that translates images given from a dedicated user interface to one of the selectable art-styles, doing this by applying neural network concepts in the training stage of the model.
Reaction All Years
Corrective Touch application is designed to track and visualize chiropractic patients’ pain levels throughout their treatment. The application will enable patients to easily track their physical condition and appointment records on their mobile phones, as well as help chiropractors achieve paperless tracking of patient recovery progress. The app addresses the current gap where patients lack a systematic way to track their rehabilitation and chiropractors only have in-session data. It features an interface for both patients and chiropractors to ensure tailored experiences for both types of users. It contains functionalities for patient users to log appointments, pain levels, and notes, with secure data access. The backend is developed using ASP .NET for Azure compatibility, and the mobile front end is developed in Flutter so that the application can be available on multiple platforms (iOS & Android). Additional features include educational resources, bilingual support, and data visualization.
An automated video-generation artificial intelligence (AI) program used to automate the process of splitting a video into frames, passing those frames through a generative AI, which will then produce new frames of similar content but will now be cartoon-style, and stitching the generated frames back into a single video, all while minimizing frame drop.
CorrelFX is a cutting-edge web application designed for novice Forex (foreign exchange) traders. Using the correlation method, CorrelFX helps users find the best currency pairs to trade. The goal is to empower traders with clear insights and easy-to-use tools, so they can make informed decisions and succeed in the dynamic Forex market.
This project is exclusively dedicated to the correlation method and predictive modeling, capitalizing on specific advantageous conditions identified by traders. Industry standard predictive models and tools related to currency exchange pose challenges to beginners due to lack of user-friendliness.
PodConnect is an innovative platform designed to transcribe audio content from various sources, including local files and popular podcast platforms. It offers real-time transcription, easy access to podcasts via keyword search, and generates subtitle files to assist users with hearing disabilities. Built with FastAPI and Python for robust backend support, and utilizing Firebase for secure authentication and data storage, PodConnect ensures a seamless and scalable user experience across all devices.
Stronger is a resistance training mobile app that uses evidence-based fitness principles in order to help users gain muscle and strength in a way that fits their lifestyle and schedule. The end goal is to make training with progressive overload easy and attractive. We are building an app that recommends a training program primarily based on how much time you can dedicate to resistance training. It also takes inputs regarding the user’s training experience, goals and preferences.
SocioLingo is a social media application that helps users learn languages from native speakers. It achieves this by users connecting with each other based on common interests (ie. Football) and they help each other learn each others opposing language. ie. One user is a native English speaker and wants to better their Spanish, and the other user is a native Spanish speaker and wants to better their English, and they are both big Football/Soccer fans, it gives them a shared interest to talk about while learning the others language.
To deploy an existing Android music application to the cloud and develop a corresponding web application.
The project is an innovative research study conducted by a team of five student researchers with the Human-Centered Design Lab at Algonquin College for the Centre for Air Travel Research (CATR). We aim to address the specific challenges ambulatory wheelchair users face in air travel, particularly the delays and inconsistencies caused by the unpredictable demand for wheelchair services offered by Canadian airlines. This project strives to ensure a seamless, dignified travel experience for ambulatory wheelchair users—passengers with mobility challenges who can walk short distances but require wheelchair assistance for long distances.
Through extensive research, which included an online survey and interviews with both participants and subject matter experts, we explored insights and mapped out themes related to challenges ambulatory wheelchair users face with wheelchair services offered by Canadian airlines. With this, we formulated the problem statement: What gaps exist between Canadian airline regulations and the implementation to ensure effective and timely wheelchair services for travellers?
We focused on developing proactive solutions that would minimize the delays and inconsistencies ambulatory wheelchair users face with wheelchair services. We introduced strategies for predictive wheelchair service planning and empathetic service protocols. We designed these measures to enhance the efficiency of wheelchair services and provide a better travel experience for users.
Our long-term vision is to implement these solutions across multiple airports and airlines through CATR’s extensive network. By setting a new standard for accessible air travel, we hope to see these practices adopted worldwide, benefiting countless air travellers who are ambulatory wheelchair users.
Throughout the development of this project, we gained valuable insights into collaborative design work, leveraging tools like Miro, Slack, and Microsoft Teams for effective online teamwork and communication. The design approach required flexibility, responsiveness to feedback, and the ability to adapt direction as needed. We learned that strong teams excel by leveraging individual strengths and maintaining open communication.
The central research question is: What factors influence the in-flight dining experience for guardians accompanying young children (ages 5-11) on domestic flights in Canada?
The research objectives of this study are consolidated as follows:
- Identify specific issues guardians travelling with children face regarding in-flight dining to guide the development of policies that improve in-flight dining experiences for families.
- We aim to understand the travellers’ preferences for dining service and expectations for the meals served by the airlines and if this can reduce stress and decision load for guardians during travel.
- Explore how airlines can enhance the dining experience through regulation, policy, and staff training to provide a seamless travel experience for guardians and children.
By exploring three key objectives we aimed to detect the possible causes for chaos within the scenario. At this moment, we envisioned our intervention by recommending a solution to enhance positive travel moments for families and increase airline customer satisfaction.
The research activities will be carried out systematically and ethically, with the necessary approvals and consent processes. This research will use a mixed-methods approach, divided into quantitative and qualitative phases. The mixed-methods approach will provide a comprehensive understanding of the pain points, enabling the development of informed and human-centred design solutions to enhance the catering system’s accessibility, sustainability, and overall dining experience for families with children on domestic flights.