Annual Challenge

Challenge Participants

The 2022 3M Young Scientist Challenge Finalists, State Merit Winners, and Honorable Mentions have been announced! Use the tabs below to check out their big ideas and explore all finalists, winners, mentors, and judges!
TraffEnerate: Generating Electricity from Vehicular Traffic
Laalitya Acharya
2017 Finalist
Meet Laalitya. Laalitya hopes to revolutionize energy in developing countries by using vehicular motion to generate and harness clean and affordable energy.
Revolutionary Next Generation Blood Storage Bags
Abhinav Anne
2021 Finalist
Meet Abhinav. Abhinav developed a way to extend the safety and shelf-life of blood products with Nitric Oxide producing Polyurethane bag.
Aquabot - An Arduino Based Robot for Testing and Monitoring Surface Water Quality
Meghna Behari
2016 Finalist
Meet Meghna. After learning how difficult it is to analyze the quality of hard to reach water sources, Meghna created a device to help access hard to reach waterways. Monitoring temperature, conductivity and pH levels, Meghna hopes to revolutionize the way scientists conduct research in the future.
A Novel Method for Oil Spill Cleanup Using Biomass
Anika Bhagavatula
2017 Finalist
Meet Anika. Anika hopes to find a natural sorbent which would be effective in replacing current environmentally damaging solutions to remedy oil spills, using pomegranate husk and orange peels.
Airflow Control Robot
Jaya Choudhary
2019 Finalist
Meet Jaya. Jaya engineered an Airflow Control Robot designed to help reduce energy consumption in the home by eliminating the use of heat in unoccupied rooms.
Magnetic Train Travel
Caroline Crouchley
2019 Finalist
Meet Caroline. Caroline developed a sustainable method of public transportation that eliminates the need for a diesel engine or electric motor in trains.
Archimedes Inspired Hydro-Powered Solar PV Azimuth Tracking Mechanism: Improving the Efficiency of Renewable Energy in Developing Nations
Austin Crouchley
2017 Finalist
Meet Austin. Austin hopes to improve the efficiency of renewable energy in developing nations using a unique low-cost solar tracker alternative.
Improving the Accuracy of Kicking a Soccer Ball Using Sensory Feedback
Amelia Day
2016 Finalist
Meet Amelia. To help the visual and hearing impaired along with the injured, Amelia's invention aims to improve accuracy of kicking a soccer ball using sensory feedback using a light and sound based system. Amelia hopes that her invention will help people's physical capabilities around the world both now and in the future.
Finsen Headphones: Treating Mid-Ear Infections Using Machine Learning and Phototherapy
Leanne Fan
2022 Finalist
Every year, there are 700 million cases of mid-ear infections (Otitis Media) and nearly 21,000 deaths worldwide. Many of those impacted are children and underprivileged populations. Without medical access and or healthcare, diagnosis and treatment of mid-ear infections are often difficult. Leanne’s invention, Finsen Headphones, provides a low-cost option to detect and treat a mid-ear infection using machine learning and blue light therapy – potentially preventing up to 60% of hearing loss in children.
Remembering Alzheimer's: In silico study on plant alkaloid derivatives as inhibitors of 3 well known drug targets responsible for the pathogenesis of Alzheimer's disease
Rithvik Ganesh
2017 Finalist
Meet Rithvik. Rithvik's project deals with how specific plant components can be used to treat Alzheimer's disease.
Hydroponic Carbon Solution
Yosef Granillo
2019 Finalist
Meet Yosef. Yosef developed a solution to mitigate earth’s rising temperatures by planting hydroponic trees in the ocean.
Laser Coach
Simone Jacobs
2017 Finalist
Meet Simone. Simone hopes to improve tennis skills all while keeping the public active and healthy by making tennis more accessible.
Low Cost CPR Simluator
Mrinali Kesavadas
2016 Finalist
Meet Mrinali. Mrinali's low cost CPR simulator aims to help save lives in underdeveloped countries. The simulator is made of low cost materials, is portable and also has the capability to run a computer based program to provide instant feedback to the user to assure that they are performing CPR in the correct way.
Forest Fire Prevention
Reshma Kosaraju
2019 Finalist
Meet Reshma. Reshma created a predictive model using machine learning and neural networks to predict and prevent the instances of forest fires.
Carbon Capture
Nishant Lahiri
2019 Finalist
Meet Nishant. Nishant developed iCART, a new approach to carbon capture that extracts carbon dioxide from the air and recycles it into natural volcanic rock.
Lawn Bot
Kathryn Lampo
2017 Finalist
Meet Kathryn. Her innovation, Lawn Bot, aims to reduce the amount of fresh water wasted during home lawn care.
A Novel MoS2 Electrode for Enhancing Electrochemical Hydrogen Production
John Lee
2022 Finalist
Hydrogen (H2) can improve energy consumption by producing an alternative energy source to carbon-based fuels. It has numerous benefits, such as high energy density and zero pollution. However, the current method to produce hydrogen in industries uses fossil fuels, producing carbon dioxide (CO2). Electrochemical hydrogen production can be a clean and efficient alternative to producing hydrogen, with water being the only byproduct. There are several considerations for electrochemical hydrogen production like cathode material, electrolytes, and applied voltage. In this research, metal electrodes (e.g., Zn, Cu, Al, Ni, Sn, and Fe) were tested as metal catalysts for electrochemical hydrogen production to determine optimum operational conditions (e.g., types and concentrations of electrolytes).
Accessibility Friendly Guidance System for Optimal Cooking Operations Based on Machine Learning
Samarth Mahapatra
2021 Finalist
Meet Samarth. Samarth deployed edge computing and advance vision algorithms to help people with vision impairments cook with ease.
Nano-Cellulose Beads to End Stormwater Pollution
Sara Makboul
2016 Finalist
Meet Sara. Sara invented Nano Cellulose Beads to counteract stormwater pollution in an effort to improve the quality of water. Sara plans to create her invention by using the absorbent cellulose, which will be extracted from leaf remains. Combined with sodium polyacrylate and once dispersed on land, excess stormwater runoff can be absorbed to decrease the amount of pollution and improve water quality.
OVision - The Automatic Assessment of Ovarian Cancer Features & Mesothelin Protein Overexpression from Histopathological Images using Deep Learning
Samaira Mehta
2022 Finalist
Ovarian cancer (OC) is the deadliest cancer of the female reproductive organs. 65% of ovarian cancer patients die each year in the United States alone. The best way to reduce that number is for doctors to develop a treatment plan that is specific to the patient and their condition. However, to provide patients with the best diagnosis, doctors need to accurately classify the OC subtypes: High-Grade Serous Carcinoma, Low-Grade Serous Carcinoma, Endometrioid Carcinoma, Mucinous Carcinoma, and Clear Cell Carcinoma. By simply looking at histopathological images, it is often difficult for pathologists to distinguish between the subtypes accurately. Samaira’s research project utilizes a Deep Learning Convolutional Neural Network, based on VGG-16, to classify ovarian cancer subtypes and detect whether mesothelin protein was overexpressed, based on histopathological images. Current platforms for uploading histopathological images and getting results on cancer types require a great deal of technical expertise. Aiming to change that, with this platform, any doctor can get access, and receive immediate, accurate results.
Optimized Diesel Particulate Filter Design
Rohit Mital
2016 Finalist
Meet Rohit. Wanting to eliminate untimely deaths due to air pollution, Rohit invented a device to control pollution from diesel automobiles by optimizing particulate filters. Through researching filter cell designs, Rohit found that his invention not only has the capability to save 250 million gallons of fuel per year, but also reducing particulate matter and saving lives all around the world.
Ferro-Sponge: A Novel Way of Removing Microplastics and Oil from Water
Snigtha Mohanraj
2021 Finalist
Meet Snigtha. Snigtha discovered Ferro-Sponge, a novel way to remove microplastics and oil from contaminated water.
Cognitive Emotion Interpretation Application (CEIA)
Veda Murthy
2021 Finalist
Meet Veda. Veda developed the Cognitive Emotion Interpretation Application (CEIA) that helps teachers and caregivers interpret the emotions an Autism Spectrum Disorder (ASD) child is expressing.
Video Analysis of Hand Tremor to aid in Telehealth
Sritej Padmanabhan
2022 Finalist
Hand tremor disorders are frequently misdiagnosed, due to a lack of accurate and reliable measurements outside of hospital lab settings. In addition, access to neurologists can be a challenge for rural populations. To address these challenges, Sritej created a Python code utilizing OpenCV and MediaPipe libraries to analyze computer vision measurements of hand movement from video capture. Based on his study, Sritej concluded that video analysis of hand tremors provides accurate and reliable measures and would potentially reduce tremor misdiagnosis, help remotely and effectively manage patient care, and aid in telehealth.
Graphene Quantum Dots in the Conservation of Endangered Species
Viraj Pandey
2021 Finalist
Meet Viraj. Viraj synthesized and innovatively applied graphene quantum dots (GQDs) to help track endangered species.
Semiconductor Battery
Will Paschal
2016 Finalist
Meet Will. Will wants to create an alternative method of storing electricity that is safer and more efficient then what is currently being offered. Will invented a semiconductor battery, and believes that creating an electric current between existing materials can power any electrical device imagined.
ASD Screener - Early Risk Assessment of Autism Spectrum disorder using Machine Learning
Amritha Praveen
2022 Finalist
Autism is one of the most common developmental disabilities that impact social and communication skills. While there is no cure, intensive early intervention can make a big difference in the quality of life for many children. Although it varies between individuals, the gut microbiome has helped successfully predict illnesses. Since microbiome data is high dimensional and non-linear, Amritha researched various feature reduction algorithms to develop an intelligent model that would be efficient and help in Autism Spectrum Disorder (ASD) prediction with more accuracy. This model can help physicians diagnose ASD at an early age using gut microbiome data from fecal samples. This model will also allow researchers to quickly and accurately detect microbial signatures that can serve as biomarkers of ASD risk.
Wind Turbine Efficiencies
Jordan Prawira
2019 Finalist
Meet Jordan. Jordan Prawira invented a wind turbine inspired by hurricane formation concepts to improve the performance and efficiency of current wind turbines.
Pura Aerem: Leveraging Catalytic Converters for Enhanced Filtering Efficacy
Shanza Sami
2022 Finalist
Air pollution is one of the greatest environmental risks to health. By reducing air pollution levels, countries can reduce the burden of diseases from stroke, heart disease, lung cancer, and both chronic and acute respiratory diseases, including asthma. Shanza Sami has developed a five-stage prototype with a diffuse filtration system, carbon nanotube (CNT) screening, electrolysis chamber, hydrogen fuel cells, and photoelectrochemical oxidation (PECO) technology. The carbon nanotube filtration system will be utilized to adhere to carbon dioxide through dynamic simulations. Additionally, water vapor will be utilized through an electrolysis chamber and hydrogen fuel cell to separate water vapor into breathable oxygen and hydrogen. Shanza hopes to use PECO technology to decompose volatile organic compounds that are dangerous to inhale. 
Innovative Engineering Tools for Controlling Harmful Algal Bloom
Moitri Santra
2021 Finalist
Meet Moitri. Moitri developed a novel optimized gel composed of Chitosan and Citric acid to induce algae coagulation and settlement in Harmful Algal Bloom (HAB) effected bodies of water to reduce the suffocation and death of animal life and toxins that could lead to health problems for humans.
Water Conservation
Camellia Sharma
2019 Finalist
Meet Camellia. Camellia developed a water leakage detection system to identify underground water leakage and reduce the water lost annually through current distribution systems worldwide.
PBIF (Perception Based Interaction Framework)
Samu Shrestha
2017 Finalist
Meet Samu. Samu created a framework-based application that allows users to create custom-tailored forms of visual and verbal interaction between desktop and mobile devices.
Infection Monitoring
Samyak Shrimali
2019 Finalist
Meet Samyak. Samyak designed a sensor-based system to track hand hygiene compliance in hospitals to reduce the fatality rate associated with nosocomial infections.
Improving Brain Disease Outcomes
Danielle Steinbach
2021 Finalist
Meet Danielle. Danielle used deep neural networks to more accurately diagnose and treat neurological disorders and brain diseases.
Soil Fungi Arbuscular mycorrhizal fungi Fights Climate Change using Artificial Intelligence and IOT
Sahasra Swargam
2022 Finalist
Carbon dioxide (CO2) is the main greenhouse gas responsible for rising global temperatures and abrupt climate changes which threaten food production and ecological systems. Soils help manage climate change and contain two to three times more carbon than the atmosphere. A natural fertilizer, mycorrhizal fungi can increase carbon storage by improving the productivity of crops and vegetation. Using Artificial Intelligence and the Internet of Things (IoT), Saharsa created a method to analyze the soil used for crops that can help predict early crop growth and disease detection. Her solution utilizes three soil moisture sensors, a PH sensor, and a temperature sensor to monitor different soil conditions for plant growth. Using regenerative agricultural practices with eco-friendly AMF (soil-borne fungi) can promote a natural method of capturing carbon dioxide in a cost-effective way of removing CO2 from the atmosphere, which helps in carbon sequestration.
Smart and Reusable Packaging Solution for Online Order Shipments
Aadrit Talukdar
2021 Finalist
Meet Aadrit. Aadrit developed a scalable and reusable shipping box that can be used for online order shipments to reduce or eliminate the use of oversized boxes and excess packing materials.
TalkMotion: A Talking Device
Faraz Tamboli
2019 Finalist
Meet Faraz. Faraz invented TalkMotion, a talking device for deaf and aphonic children, that turns a sign language gesture into verbal language, or verbal language into sign language gestures.
Piezoelectric Power Generation from Automotive Tires
Asvini Thivakaran
2022 Finalist
Global warming, climate change, and air pollution are some of the most prevalent global issues of today. High levels of carbon dioxide and other greenhouse gasses in our atmosphere create concern for the health of our environment. The transportation sector is the largest contributor to U.S. greenhouse gas emissions, many of which come from passenger cars. To reduce greenhouse gas emissions from passenger cars, the use of electric vehicles needs to grow, but the drawback for many is the limited power of electric vehicle use. To help solve this issue, Asvini invented a way to generate clean power while driving to increase the distance an electric vehicle can travel before needing to be charged. Asvini’s invention uses piezo material on automotive tires to generate clean, environmentally friendly power that will recharge a car while driving. She hopes her invention will attract more people to buy electric vehicles and help reduce the carbon footprint associated with driving.
A Novel Dosing Pump to Prevent Clogs and Organic Overgrowth In AC Condensate Lines
Daniel Thomas
2022 Finalist
Air conditioner condensate drain lines can clog every six to 12 months, costing millions in heating, ventilation, and air conditioning (HVAC) service calls and property damages. This issue can also cause severe health problems for the elderly and asthmatics due to organic overgrowths such as mold and Legionella bacteria. To address this issue, Daniel developed a solution using diluted chlorine to prevent overgrowth, a peristaltic pump, and an ESP8266 Wi-Fi programmer to time the dispensary of the chlorine. Daniel hopes his technique will produce fewer clogs and organic overgrowth in AC condensate lines, which will save homeowners and business money and reduce exposure to dangerous mold and bacteria.
Make the Pill fit the Ill
Sofia Tomov
2016 Finalist
Meet Sofia. Sofia believes her invention can help limit negative side effects from prescription medications. By using fast computing methods to detect mutations that would cause a person to suffer from side effects of their medication, Sofia hopes she can help improve the health of humans all over the world through safer prescriptions.
The Comptometrist: An Efficient Way to Determine Myopic Power
Harini Venkatesh
2022 Finalist
The calculation of eye power can be slow and error-prone. On average, it takes nearly an hour to complete an eye examination which can open a window for error. Every year, more than 2.8 million people find significant issues with their optical prescription. To address this issue, Harini developed The Comptometrist, a prototype designed to cut down the time needed to determine myopic power in a patient’s eyes. Harini’s prototype would eliminate crowding in clinics, report accurate measures of myopic power in seconds, and closes the window of error in the eye examination process.
Mudricity - Making a More Efficient Microbial Fuel Cell for use in Developing Countries
Rohan Wagh
2016 Finalist
Meet Rohan. Wanting to eliminate energy poverty in underdeveloped countries, Rohan invented a new method to increase the efficiency of a microbial fuel cell. Rohan believes his invention, which is compact sized and low maintenance, can be distributed and used all around the world.
Bringing the Incentive Back to the Incentive Spirometer
Allie Weber
2017 Finalist
Meet Allie. Allie hopes to revolutionize the way people design medical equipment for children starting with the incentive spirometer.
SLIDEMAP Precision Digital Pathology in Cancer Using Deep Learning
Devin Willis
2017 Finalist
Meet Devin. Devin hopes his innovation SLIDEMAP can act as the pathologists in third world countries while in developed countries it can aid pathologists and help them make more accurate diagnosis.
Bioplastics - Redefining Future
Kaien Yang
2016 Finalist
Meet Kaien. Kaien's invention focuses on creating a biodegradable plastic to help reduce pollution worldwide. Using a combination of natural biodegradable resources, Kaien believes his invention has the capability of solving the one of the world's most persistent problems.
Developing a Low-Cost, High-Sensitivity Method for Early Diagnosis of Dry Eye Diseases
Sydney Zhang
2021 Finalist
Meet Sydney. Sydney developed a low-cost, high-sensitivity method for early diagnosis of dry eye disease (DED).