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.
Reaction All Years
This project aims to create a secure and user-friendly platform for managing and sharing information, giving users full control over their data in ways current systems do not. Users can upload, view, and play various file types directly within the application, avoiding the need for external programs. They can search for files based on spatial, temporal, or thematic criteria, share files through unique links, comment on shared files, and follow other users to receive activity notifications—all within a unified, interactive experience.
The School of Health is transitioning to an online program to streamline the scheduling of proctors for exams. This new system will be managed by a single administrator, ensuring centralized control and coordination. All participants, including administrators, proctors, and professors, will have access to view the schedule, enhancing transparency and communication.
SmartEPD is a project sponsored by Giatec Scientific Inc. This project is to deliver a software service that enables creating Environmental Product Declarations (EPDs) for concrete manufacturers that use Giatec’s existing system “SmartMix”. SmartEPD utilizes tools and services provided from industry leaders; Climate Earth, and Building-Transperancy. By combining existing client data from SmartMix, and newly acquired data from SmartEPD, clients can use the service to generate the EPD reports.
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.
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.
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.
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.
It is a video to create a scenario of how a mystery shopper works. We have a story of two students one of them is a mystery shopper, and he explained to his friend how he can have a job as a mystery shopper. So we will make a short story of around 30 – 60 min for social media content.
An application to allow booking of a sports facility. Administrators can add a facility, create time slots that they are available to rent, and add it to a map. Users can then view the map to select the facility they would like to book, see what time slots are available, then create a booking.