Science Fair Project Discovery Hub
About our Science Fair Project Discovery Hub
An AI driven approach to democratizing science research for every student
Science fairs are where curiosity translates to real world impact, yet most students only ever see a tiny fraction of what’s possible. Many students lack access to advanced labs, exposure to emerging fields, or guidance from someone who knows how to turn an idea into a real research pathway. The scientific world is far bigger, richer, and more exciting than what students typically encounter day to day, and the MehtA+ Science Fair Project Discovery Hub was built to introduce students to this wonderful scientific world.
Developed by MIT and Stanford engineers, researchers, and educators using AI research tools and insights from past winning projects, the Hub helps students navigate 1,600+ science fair project ideas across all 22 International Science & Engineering Fair (ISEF) categories. Each category breaks down relevant public datasets, software and low‑cost tools that will make real scientific research accessible. Each idea breaks down the scientific hook, core concept, research questions, materials, experimental plan, pitfalls, level of difficulty, project variations and what makes the project competition-ready.
And when students are ready to build, MehtA+ Science & Engineering Research mentors provide the structure, expertise, and human insight that AI research tools alone can’t guarantee, especially when those tools can misinterpret data or oversimplify complex scientific concepts.
The Hub is not about choosing a project for students. It’s to give them the opportunity, exposure, and support they deserve to create something meaningful.
ISEF Categories
Explore the different areas of research
Science Fair Project Finder
Discover 1,600+ science fair project ideas
1642 projects found.
Materials Science · Polymers · Advanced
Predicting Promoter Strength in CropsComputational Biology and Bioinformatics · Genomics · Advanced
Predicting Rooftop Solar Soiling LossEnergy: Sustainable Materials and Design · Solar Process, Materials, and Design · Intermediate
Predicting Soybean Yield With Weather and Satellite DataPlant Sciences · Agriculture and Agronomy · Advanced
Predicting Voter Registration Spikes From Online SignalsBehavioral and Social Sciences · Sociology and Anthropology · Intermediate
Predicting Wing Flutter With Python And XFLR5Engineering Technology: Statics and Dynamics · Aerospace and Aeronautical Engineering · Advanced
Predictive Thermal Throttling for ESP32-S3 FirmwareEmbedded Systems · Microcontrollers · Advanced
Prime Factors of n! + 1Mathematics · Number Theory · Advanced
Privacy-First Homework Help AppSystems Software · Mobile Apps · Advanced
Privacy-Preserving Campus Sound DetectionEmbedded Systems · Internet of Things · Advanced
Privacy-Preserving DNA Kinship SearchComputational Biology and Bioinformatics · Other · Advanced
Privacy-Preserving LLM Training Set AuditorSystems Software · Other · Advanced
Privacy-Preserving SQL for Grade AnalyticsSystems Software · Databases · Advanced
Privacy-Safe Classroom Engagement Sensor ProjectEmbedded Systems · Internet of Things · Advanced
Private Data Pipelines with Type-Checked BudgetingSystems Software · Languages and Operating Systems · Advanced
Private Federated Sepsis Prediction in MIMIC-IV StudyBiomedical and Health Sciences · Other · Advanced
