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.
Energy: Sustainable Materials and Design · Biological Process and Design · Advanced
Predicting Blood-Brain Barrier Permeability with Machine LearningBiochemistry · Medicinal Biochemistry · Advanced
Predicting Bulk Modulus From Crystal StructureMaterials Science · Computation and Theory · Advanced
Predicting Depression Treatment Response From Brain ScansCellular and Molecular Biology · Neurobiology · Advanced
Predicting Diels-Alder Barriers With Machine LearningChemistry · Computational Chemistry · Advanced
Predicting E. coli Promoter Strength With AIMicrobiology · Microbial Genetics · Advanced
Predicting Enhancer Variant EffectsAnimal Sciences · Genetics · Advanced
Predicting Explanatory Depth with AIBehavioral and Social Sciences · Cognitive Psychology · Advanced
Predicting G-Quadruplex Stability in Oncogene PromotersBiochemistry · Structural Biochemistry · Advanced
Predicting Glass Transition Temperature With MLMaterials Science · Ceramic and Glasses · Advanced
Predicting ICU Kidney InjuryBiomedical and Health Sciences · Pathophysiology · Advanced
Predicting Kinase Drug Response in Pediatric TumorsBiochemistry · Medicinal Biochemistry · Advanced
Predicting Lyme Disease Spread With Climate DataComputational Biology and Bioinformatics · Computational Epidemiology · Advanced
Predicting Noncoding Variant Pathogenicity With MLCellular and Molecular Biology · Genetics · Advanced
Predicting p53 Mutation StabilityAnimal Sciences · Cellular Studies · Advanced
Predicting Pollinator Range Shifts With MaxEnt for ClimateAnimal Sciences · Ecology and Agriculture · Advanced
