PROJECT DESCRIPTION:

We are The Memory Savers, a 5th-grade team from Young Women’s Leadership Academy Primary. We created our app, MetaMind, to help people with dementia remember important things in their daily lives and stay safe.

This project is important to us because our grandmothers and great-grandmothers have had dementia, and we know how hard it can be for families. We wanted to use STEM and technology to make a difference and help people feel more supported and independent.

We worked together using the Engineering Design Process to research dementia, design our app, and think about how it could help patients, doctors, and families. We are proud of our teamwork and excited to share how MetaMind could help improve lives.

PROJECT DESCRIPTION:

The purpose of Sincerely Medicate is to help the medical community answer patient questions by streamlining information and guiding patients toward accurate medical resources to support diagnosis and treatment when needed.

PROJECT DESCRIPTION:

The Dazzling Stars have reinvented the diabetes CGM auto-applicator, to turn a stressful experience into a more comfortable one. Tackling a challenge that affects billions—shots—we designed with daily needle users in mind. Our upgraded auto-applicator features a numbing spray at the press of a button, a warming pad that loosens adhesive for painless removal, and calming music to help distract kids during insertion. Using innovative micro-needles inspired by a mosquito proboscis, our design greatly reduces discomfort. By blending smart technology with thoughtful care, we’re making diabetes management feel less scary and more empowering.

PROJECT DESCRIPTION:

Cardiovascular Disease, also known as CVD, is estimated to have caused over 25 million deaths by 2025 and almost 36 million by 2050, and yet there aren’t many products designed to help prevent deaths caused by CVD. We came up with a solution to help reduce the amount of unexpected deaths caused by CVD, which uses AI assistance to help track your cholesterol, blood pressure, heart rate, and blood sugar. PulseSync is an AI-assisted wearable device made of silicone and metal, which incorporates a biogel patch, optical sensors, and Biolinq Shine sensors to track warning signs of strokes and heart attacks and alert EMS whenever signs of CVD have increased for a particular person.

PROJECT DESCRIPTION:

In the United States, more than 100,000 wheelchair-related injuries were treated in emergency departments. An estimated 65–80% of injuries across all patients were due to tipping or falls. After all these years, approximately 80 million people worldwide suffer from the lack of reinvention in wheelchair design. Our project takes the first step necessary in making wheelchairs safer by lowering the center of gravity via a weighted plank structure. We also designed and added coded distance sensors to the back of the wheelchair to help the user avoid unseen obstacles and blind spots. We can change the world by making wheelchair safety accessible for millions and giving people the opportunity to have well-placed trust in their security and mobility.

PROJECT DESCRIPTION:

We, Sofia, Audrey, Sophia, and Taelynn, are a group of STEAM students focused on improving healthcare through thoughtful innovation and problem-solving. We bring together our unique skills and data analysis to tackle complex medical challenges with practical, patient-centered solutions. By combining our research, expert insight, and hands-on prototyping, we approached our work on organ transplants with both creativity and discipline. Our goal in designing Organ-Sync Health is to make healthcare more efficient, accurate, and accessible for patients, caregivers, and medical professionals. Our team does this while demonstrating the impact we can make through our strong passion and dedication to achieving meaningful outcomes.

PROJECT DESCRIPTION:

Our project, Safety Signal, is designed to dramatically reduce fall danger among high-risk hospital patients with maximum cost-effectiveness and efficiency. Our working prototype accurately identifies varying levels of fall risk for each patient using custom Raspberry Pi Python code. Once Safety Signal detects a fall risk of three or higher (on a scale of 1–5, with 1 being the lowest risk), it notifies a nurse to assess the patient.

PROJECT DESCRIPTION:

Heartwise+ Health App Summary

Heartwise+ is a comprehensive cardiovascular health app that focuses on the critical connection between social relationships and heart health. The app’s unique belief: community and connection are as vital to heart health as exercise and diet.

Based on research showing that strong social connections can reduce heart disease risk by up to 50%, Heartwise+ integrates community wellness into every aspect of health tracking.

Unlike traditional health apps that focus solely on physical metrics, Heartwise+ recognizes that emotional wellness through social connection is foundational to cardiovascular health. By integrating community reminders with traditional health tracking, the app provides a connected approach to heart health that treats relationships as medicine.

PROJECT DESCRIPTION:

Our team is creating a website, the Doctor Database, to assist with searching for the right doctor for the user’s needs, such as their price range, location, medical issue, or doctor’s experience, using AI. After researching a way to sort through doctors, we found that every procedure has a specific code called a CPT code. Using the CPT codes filed by each doctor, the AI can sort through them and find which ones have the most experience and would be best fitted for the information given. When users log onto our website, they will fill out a quick questionnaire that will get all the important information the AI system needs to search through doctors who have filed the CPT code and are in the specified location. The user will receive a top 10 list and contacts to be directed to each doctor.

PROJECT DESCRIPTION:

Our team, ALURA Lifeline, is made up of middle school students from The Texas Girls School who are excited to learn more about cardiology and how the heart works. Anna, our project manager, who was born in Kazan, Russia, is deeply passionate about helping others. Rowan is our research manager, who was born in Austin, Texas, and grew up loving animals and helping others. Leah is our creative design lead and was born in Portland, Oregon. She enjoys reading, playing sports, making art, and has a passion for video games. Lulu, our project coordinator, was born in Tulsa, Oklahoma, likes to do hair and nails, and is an Irish dancer. Together, we are grateful for this opportunity to present here.

PROJECT DESCRIPTION:

Project Time Rescue

Each day, nurses across the nation are tasked with scheduling the transfer of patients from the ER to properly equipped and available hospitals. They spend hours on the phone talking to hospitals and coordinating transfers. One of the most complicated tasks is scheduling the transfer service. Our team aims to solve that problem.

The purpose of this app is to get the transferred patient to the accepting hospital in the quickest amount of time. With our app, we will send a message to multiple transportation companies to see which will respond and pick up the patient first. This app will also include all the patient’s important details, which the companies will need to determine if they are equipped to accept the job and to ensure the patient’s medical needs are met during the transfer.

PROJECT DESCRIPTION:

SpeakEZ is a game designed to help young kids communicate their feelings to doctors. Many children have trouble explaining emotions, which can make it harder for healthcare workers to understand how they feel. Our app lets kids choose facial expressions and answers in a fun game, so doctors can better understand their emotions.

The goal of our project is to make doctor visits less scary and more comfortable for kids. The game collects emotional responses and turns them into helpful information for healthcare professionals. We also designed it to be fun and engaging, so children feel safe expressing themselves.

We created the idea by researching children’s mental health and learning how games keep kids interested. This project shows how technology can improve healthcare by helping kids communicate and helping doctors give better care.

PROJECT DESCRIPTION:

The Sleep Blank aims to create a comfortable experience when taking a sleep test. With the use of our blanket prototype, motion capture technology, and an AI database, The Sleep Blank will monitor the user’s symptoms and compare them to its database. If The Sleep Blank can gather a large enough database, it will be able to precisely alert users if an official diagnosis of a sleep disorder is needed. Our project is designed with quick and accurate data collection, diagnoses, and patient comfort, safety, and health in mind.

PROJECT DESCRIPTION:

The BalanceBlossoms are here to shatter the global disparity in female reproductive healthcare. We have engineered a personalized informational app paired with a biometric, pain-tracking wearable device to bridge the gap in accessibility and awareness.

Our system harnesses AI to analyze symptoms and medical history, calculating the probability of reproductive conditions by cross-referencing user data with reliable medical research. This generates a clinical-grade report for women to share with their health care providers. Simultaneously, our non-invasive device monitors temperature and heart rate to feed an algorithm that predicts health risks in real-time. We aren’t just building tech; we are empowering women to secure accurate diagnoses and treat conditions early—before a hysterectomy becomes the only option.

PROJECT DESCRIPTION:

PREP MY CYCLE

Your Cycle, Your Confidence

Prep My Cycle is an inclusive, science-informed menstrual cycle support app designed to help users understand their bodies, prepare for upcoming symptoms, and move through each phase of their cycle with confidence. Whether someone is a teen just starting their journey, a college student balancing a busy schedule, or an adult managing work, family, and life—Prep My Cycle adapts to their needs with warmth and clarity.

The app breaks the menstrual cycle into four easy-to-understand phases and offers personalized guidance for each one. Users receive gentle reminders, symptom insights, and practical prep tips so they’re never caught off guard. With tools like a cycle calendar, symptom tracker, prep-kit planner, and an education hub, Prep My Cycle transforms cycle care from stressful to supportive.

Designed with privacy and inclusivity at its core, the app uses friendly language, discreet visuals, and customizable features to make every user feel seen and supported. Prep My Cycle isn’t just a tracker—it’s a companion that helps people understand their patterns, care for their bodies, and feel prepared for whatever the month brings.

PROJECT DESCRIPTION:

The STEAM Stars are the Dallas-based team and creators of Mendi, a conceptualized medical device with the purpose of combining AI and medical technology to assist patients in post-operative care. Patients are often at risk of infection in the time following surgery, and Mendi helps eliminate the possibility of infection during the recovery period by monitoring biomarkers such as temperature to detect early signs of infection.

PROJECT DESCRIPTION:

This project is an AI-based skin analysis app that analyzes skin features from photos submitted by users and provides skincare tips and product suggestions. Users create an account, complete a skin survey, and upload an image of their skin concern. The app is designed for teens and young adults but can be used by people of all ages.

This project is important because many people rely on skincare advice from social media, which is not always accurate and can sometimes make skin problems worse. The app demonstrates how artificial intelligence can provide quick and reliable skincare information, helping users learn more about their skin and decide when to get help from a licensed dermatologist.

The app will be tested by 5–10 volunteers, and results will be evaluated based on user satisfaction, accuracy of information, and whether users would consider seeing a dermatologist, while keeping participation voluntary and user data private.

PROJECT DESCRIPTION:

Our team, Nurses Next, is working toward creating a digital charting system that aims to reduce the mental strain nurses experience while caring for patients. Our program would transcribe spoken conversations, automatically identifying key details that typically require documentation, and generate organized documentation and reports. This is important because healthcare is a high-stress, demanding environment for workers who are trying to maintain a high level of care. Our system would address some of the heavy cognitive load on nurses by reducing the documentation burden, thereby increasing productivity, improving patient care, and boosting morale in the workplace, benefiting healthcare workers and their patients.

PROJECT DESCRIPTION:

NOMAD is a wearable health technology designed to detect and track early indicators of neglected parasitic diseases, with a focus on illnesses commonly affecting travelers and underserved rural communities. These diseases are often overlooked and underfunded, leading to delayed diagnosis and increased harm.

NOMAD addresses this gap by using a smartwatch equipped with AI-driven pattern recognition to monitor key health indicators, such as body temperature, heart rate, respiration, skin changes, and hydration levels. By identifying abnormal trends early, the system aims to flag potential parasitic infections before symptoms escalate.

The device connects via Bluetooth to a mobile health application, allowing users to view real-time data, store travel vaccine history, receive medication reminders, and access disease-specific education and prevention guidance. Using global health and outbreak data, the app can also alert users when they enter regions with active outbreaks of neglected parasitic diseases.

Through early detection, education, and real-time health monitoring, NOMAD seeks to reduce the spread and severity of parasitic diseases, empower travelers and rural communities with preventative tools, and contribute valuable anonymized health data to advance medical research and awareness of neglected parasitic diseases worldwide.

PROJECT DESCRIPTION:

Our team is developing an app with built-in AI software known as DANA AI, or the Data Analyzing Nurse Assistant AI, that is intended to predict and prevent chronic pain. Through our extensive research, we found that chronic pain, Type II Diabetes, and Cardiovascular Disease are all heavily linked to BMI (Body Mass Index) and lifestyle choices such as physical activity and eating habits, as well as medical history. Our users are able to choose between a quick AI-powered survey and a more thorough questionnaire. Both of these options allow users to view their level of risk for chronic pain, Type II Diabetes, and Cardiovascular Disease. DANA AI is then able to take both the inputs and the risk levels to provide users with personalized and specific recommendations to decrease and alleviate the risk levels.

PROJECT DESCRIPTION:

The Navy Jackets are made up of four incredibly involved game changers who want to pursue medicine and/or technology in their future careers. We have coded, created, and designed an app that analyzes skin imperfections and evaluates the likeliness of being cancerous. The app is named Sunspot and is also able to detect the UV index of the day and track the development of the imperfection over time. This is in hopes of addressing and spreading awareness of the rising problem of skin cancer in West Texas, especially in the petroleum industry.

PROJECT DESCRIPTION:

Ovarian blood flow isn’t a topic most women worry about because it’s not commonly discussed. As a result, not many women consider its potential effects. Decreased ovarian blood flow can signal possible health issues like ovarian cysts and cancer. It is also influenced by the menstrual cycle, allowing it to be used as a tracking tool for the cycle. The Hemo-Flow belt is designed to track blood flow in the ovaries and notify users when an irregularity is detected. It connects to an app that signals the belt to send pulses, stimulating blood flow if desired. This gives women the opportunity to detect irregularities in ovarian blood flow early, preventing circumstances that could cause infertility, which affects 12% of women.

PROJECT DESCRIPTION:

Smile Sense is a mobile app that uses artificial intelligence (AI) to help people check their teeth at home. Users can take a picture of their teeth, and the app analyzes it to see if there might be problems like cavities, plaque, gingivitis, or if the teeth look healthy.

Our goal was to make dental health easier to understand and more accessible, especially for people who are unsure if they need to visit a dentist. The app also includes a chatbot that teaches users about oral hygiene and a GPS feature that shows nearby dental clinics if professional care is needed.

We built the app by training an image-recognition model and connecting it to a phone app interface. This project shows how technology and AI can be used to prevent health problems, educate users, and help people take better care of their teeth.