Team Name Code Blossoms Track Public Sector Use Case A smart wellness platform based on IoT smartwatches and AI data analysis Technology SAS Viya , Python, React, Nvidia AI workbench, Google Cloud SQL Region Australia (APAC) Team lead Xinyi Gao Team members @joangaooo @allenann @jiachengli  Social media handles Xinyi Gao: https://www.linkedin.com/in/xinyi-gao-cn/  Li Cui: https://www.linkedin.com/in/li-cui-73809027b/  Jiacheng Li: https://www.linkedin.com/in/jiacheng-li-b17b41242/  Is your team interested in participating in an interview? Y Optional: Expand on your technology expertise   Team photo   Project Overview: https://dr-ginseng-nvidia.vercel.app/ Github: https://github.com/Joan-gao/Dr.Ginseng    Pitch Video         Jury Video                                   ... View more

The Provost’s recent policy requiring students to complete course evaluations integrated into our Learning Management System (LMS) has resulted in a significant increase in response rates—from 32% to 80%. Students are alerted during evaluation periods, and during the last week of classes, evaluation completion is mandatory, with an opt-out mechanism provided once the process starts. Initial data shows no negative outcomes, with responses largely unchanged and stronger students participating more. While the Likert scale data has been analyzed, there is potential to gain deeper insights from the textual feedback provided in open-ended responses. We propose leveraging SAS’s powerful analytics, specifically Natural Language Processing (NLP) and Visual Text Analytics (VTA), to dig deeper into this qualitative feedback and uncover actionable insights that could help improve instructional methodologies. ... View more

Team Name PS2G Track Public Sector Use Case As part of the SAS Hackathon, our focus will be creating an OSTP Program Finder Dashboard. The goal of this project is to create an interactive and user-friendly tool that allows students, parents, and school administrators to easily find out which Out-of-School Time Programs (OSTP) are available at different schools and grade levels. Technology SAS Visual Analytics Region Americas Team lead Kevin Collins Team members Sidorela Kollcaku, Khine Chin Chin Soe Technology expertise Python & R Programming, Full Stack Web Development Overview The dashboard will allow users to: Select a Grade: Users can choose their specific grade level using a drop-down menu. Explore Available Programs: Once a grade is selected, the dashboard will display the available programs (e.g., STEM, Arts, Sports) across all participating schools for that grade. School and Program Insights: A map or table will show the schools offering the selected programs. Users can filter by program type to see which schools provide specific options like STEM or tutoring. Program Information: Detailed descriptions of each program (e.g., STEM, Arts, Sports) will be provided to help parents and students understand the nature of each offering. Why This Project Matters: Parents and Students: This dashboard will simplify the process of finding extracurricular activities based on the student’s grade level, making it easier to engage in programs that align with their interests. School Administrators: The tool can also be used by school administrators to track program availability and ensure equitable access across different schools and grade levels. Accessibility: By making the dashboard mobile-friendly, parents and students can easily check program availability on the go. Key Features: Interactive Filters: Users can filter by grade and program to instantly see which schools offer those programs. Program Details: Each program will have a description so that parents and students know what to expect. Visual Map: Schools offering selected programs will be visualized on a map, making it easy to find nearby schools. Best Practices: Simplicity and Usability: The dashboard will focus on providing an intuitive, easy-to-navigate interface. It’s important that users, especially parents and students, can quickly find the information they need without confusion. Mobile Accessibility: Ensuring that the dashboard is mobile-friendly is crucial for accessibility, allowing users to browse program options from their smartphones or tablets. Scalability: The dashboard will be designed in a way that it can be easily updated as new programs, schools, or grades are added in the future. This project has the potential to improve program awareness and engagement by making extracurricular opportunities more accessible to everyone in the school community. I'm excited to continue refining the dashboard and explore the impact it can have on increasing participation in after-school programs! Jury video   Pitch Video ... View more

According to global forecasts, by 2022, an estimated 8.4% of the world’s population—approximately 640 million people—lived in extreme poverty. To achieve the established goals and foster social development in the most affected countries, governments propose various strategies to reduce poverty, such as providing monetary transfers, social offerings, and more. However, these countries often lack the resources to universalize aid, necessitating the establishment of targeting criteria to reach those in greatest need. Unfortunately, this is often complicated by outdated or incomplete information systems, which hinder the efficient allocation of resources to priority areas. The Advanced Analytics team at Innova-TSN proposes a project to identify vulnerable areas and groups living in poverty, enabling governments or NGOs to focus their efforts on delivering aid, subsidies, and implementing social programs more effectively. We plan to obtain the necessary information through web scraping of news outlets and comments on X (formerly Twitter) and Facebook from official government accounts, their representatives, media outlets, and official news published by the media in each country, region, and municipality, where applicable. Given that the data we will analyze is primarily in Spanish, it is essential to use models specifically tailored for the Spanish language. Finally, we will build a dashboard to present the geographical areas identified using web scraping, NLP techniques, LLMs, and geocoding. This tool will initially be developed for one Latin American country with high poverty rates and extensive internet coverage. It will serve as a proof of concept to determine its effectiveness. ... View more

Our team photo Team Name Esse quam videri Track Public Use Case Information transparency to promote equity in farming communities   SAS data maker and SAS Copilot Region NA (North carolina, USA) Team lead Harmandeep Sharma   @hsharma123 @Anuoluwapo @otsomefun @adelusi @ekwekutsu @OderinwaleOA @moakindoyin @DorcasAmoh  Social media handles https://www.linkedin.com/in/harmandeep-sharma-51912950/       Optional: Expand on your technology expertise     ... View more