The WIL Demo Lab : Student Innovation Takes Center Stage
Demo Lab is a multidisciplinary student innovation program that has attracted over 40 students from Business Administration, Business Analytics, Computer Science, Biology, Construction Engineering, and beyond. Supported by 3 industry mentors and 6 faculty mentors, 7 teams are developing diverse solutions — from AI-driven early intervention tools to caregiver burnout support.
Following a series of workshops on ideation, creation, and AI-assisted development, all teams will present their work at the Student Showcase on Friday, March 6, competing for finalist recognition before a panel of judges. The Forum on Saturday, March 7, will feature expert speakers, finalist presentations, and Demo Lab awards.
March 6 12:00-4:00; March 7th Finalists present at 2:00 PM
CareBridge:
Austin Bowen, Yangcha Ho, Joanna Tafolla, Phakhin Sinlee, Dafne Gonzalez Mena — A caregiver support platform leveraging the already-established Bay Valley Health, Inc. to deliver resources and tools for caregivers across diverse communities.
CareGuide:
Mary Gonzalez, Mishelle Taborga Lenz, Daria Vasina — A real-time execution guide that transforms static behavioral support plans into situation-aware guidance for caregivers working with individuals on the Autism Spectrum or with Developmental and Cognitive Delays.
FillEasy:
Linn Khant Cho, Kellie Phung, Shubham Malviya, Kareli Becerra Fernandez — An AI-powered document assistance system that simplifies caregiving-related paperwork using natural language input to auto-generate and populate forms, reducing errors and freeing professionals to focus on patient care.
CENTS Health Equity Navigator:
Myeshia Jefferson, Srividya Peri, Srilekha Budhithi — An AI-powered maternal and caregiver navigation platform designed to reduce burnout, improve preventive care follow-through, and support expectant mothers and caregivers working in high-stress industries like healthcare.
AI for Early Intervention:
Venkata Sai Krishna Aditya Vatturi & Weil Mohammad, CS Majors — An AI-powered decision-support tool using Retrieval-Augmented Generation (RAG) to help Early Intervention providers create high-quality IFSP goals and caregiver coaching strategies grounded in evidence-based frameworks. It supports rather than replaces professional judgment to close the research-to-practice gap.
GET Lunch:
Samiya Jackson, Dang Tien Ho, Pedro Luis Perez, Elena Wilson, Selia Lucero, Wenhao Zhang — "Generation Eating Together" brings college students and senior citizens together through a shared meal program addressing senior loneliness and student food insecurity, with plans for a recurring program at CSUEB.
Clarify:
Daniel Morales, CS Major — An AI-powered communication aid that helps expectant mothers better express concerns, symptoms, and feelings to their doctors or support networks. It provides a private space for users to organize thoughts, clarify what they're experiencing, and prepare for conversations with healthcare professionals.
