1:1 AI Research Program for High School Students
AI education is a multi-stage learning process. Continue your AI education journey by launch challenging new projects in our 1:1 Project Mentorship Programs, designed for students with programming experience. Students new to programming are recommended to join our AI Scholars program here before pursuing the 1:1 research program.
1:1 Program: AI + X Individual Research
Inspirit AI offers a 1-on-1 research mentorship program for high school students to work individually with an experienced research mentor. In this 1:1 program, students will begin by extracting insights from large datasets, architect key questions, and then engineer machine learning models to answer them. In the process, students will iterate on their project and gain insight into the scientific research process. Upon completion of the course, students will have completed an independent AI project, research proposal, and final research paper/article. Interested students will receive guidance on how they may take their projects further to science fair or journal submission.
This program is designed for students with prior programming experience in Python (or another programming language).
Program Outcomes
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Understand the lifecycle of a research project with literature reviews, question formulation, experimentation, analysis, technical presentation, and write-up.
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Work with your mentor to write and edit a final research paper. Motivated students may advance their project to complete a deployed web application, submit to a high school journals or prepare for submission to a science fair event.
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Culminate your AI experience with an AI + X Researcher Certificate by building on your AI Scholars experience through a challenging and meaningful independent research project to showcase your portfolio of projects in applied AI.
Program Features Include…
10 or 25 1:1 Mentorship Sessions
with an experienced AI research mentor from Stanford, MIT, or a leading university with industry and/or lab experience applying AI.
Guided Research Experience
from dataset/domain selection, to data visualization and AI modeling — eventually culminating in a portfolio-ready research paper.
Access to Multiple Datasets/Research Resources
in their application area including art, healthcare, mobility, law, journalism, physics, engineering, sports, psychology, and more!
Science Fair Preparation
resources to advance the project further for a science fair event, high school journal submission, web application deployment depending on students prior experience.
Our 1:1 Program students have won prestigious high school competitions and science fairs, including…
Program Logistics and Contact
This program runs for 10 or 25 sessions of 1 hour each.
Upcoming Start Dates:
January 10, February 10, March 10, April 10
Exact session dates chosen by student & mentor. Timing is determined based on student & mentor matching.
Prospective 1:1 students please contact jared@inspiritai.com
Current 1:1 students please contact aimentorship@inspiritai.com
Program Fee and Admissions
AI+X Individual Research (10 hours): USD $2500
AI+X Individual Research Fellowship (25 hours): USD $5000
Admitted students will be emailed a link for online payment. Payment plans available.
Application Deadline: December 31, 2024
Hear from Inspirit AI students and alumni about their experiences in our 1:1 AI + X Mentorship Program.
Research Project Journeys of Inspirit Alumni
“A Machine Learning Approach to Understanding the Determining Factors of the Gender Wage Gap”
This project uses machine learning to analyze gender income inequality, securing Sophia 2nd place at the 2023 San Diego Broadcom Science and Engineering Fair.
“Stellar Classification based on Numerous Characteristics using Machine Learning”
The task of stellar classification can be tedious and lengthy when done manually. One can expedite stellar classification by creating an artificial intelligence model to automate the process. Roberto’s research was published in the Journal of Student Research.
“A Hybrid CNN-LSTM Model For Predicting Solar Cycle 25”
The goal of this study is to predict Solar Cycle 25 through the deep learning approach, and determine what parameters affect prediction accuracy and what the optimal number of historical solar cycles are used to reliably and accurately predict the upcoming solar cycle.
“Applying AI to Real-World Problems: Responsible Journalism”
Named one of India’s ten Youth Changemakers of 2019 by The Better India, Ananya is currently at Princeton, pursuing a Major in Computer Science with minors in Cognitive Science, Technology and Society, and Creative Writing.
Publication Features
Our 1:1 AI + X Mentorship students develop in-depth research projects—and many students choose to share their findings with the research community through publishing their work in an academic journal, submitting to a science fair or competition, and even presenting at a conference. We are proud to share that many of our high school students have found success in publishing their work in some of the most prestigious high school journals, competitions, and conferences across the globe—from the Journal of Emerging Investigators to International Science and Engineering Fairs.
Meet Some of Our 1:1 AI + X Program Mentors
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Akshay Jagadeesh
AI + HEALTHCARE, NEUROSCIENCE, PSYCHOLOGY
Ph.D. in Computational Neuroscience, Stanford University | Postdoctoral Fellow at Harvard Medical School
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Amanda Wang
AI + ENGINEERING, FINANCE, AND MORE
Master’s in Computer Science from University of Illinois Urbana-Champaign | Bachelor’s in Computer Science and Business Analytics from MIT
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Eric Bradford
AI + ROBOTICS, VIRTUAL REALITY, SPORTS, ENGINEERING
Master’s in Electrical Engineering and Computer Science from MIT | Bachelor’s in Electrical Engineering and Computer Science from MIT | Senior Technical Product Manager at Apple
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Darnell Granberry
AI + BIOLOGY, PHYSICS, ENGINEERING, HEALTHCARE
Master’s in Computer Science from MIT | Bachelor’s in Chemistry from MIT | Machine Learning Engineer
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Peter Washington
AI + HEALTHCARE, PSYCHOLOGY, BIOENGINEERING
Ph.D. in Bioengineering from Stanford University | Master’s in Computer Science from Stanford University | Computer Science Professor at UHawaii
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Ross Greer
AI + ENGINEERING, ROBOTICS, MUSIC
Ph.D. Candidate in Electrical & Computer Engineering at UC San Diego | Master’s in Electrical & Computer Engineering at UC San Diego | Research at MIT and UC Berkeley
1:1 Program: AI + X Research Fellowship
This premium track offers a more extensive experience for students who want to take on the ambitious goals of publishing their research, applying to science fair competitions, or deploying web applications to showcase their unique work. Features of the AI + X Research Fellowship include those of the Independent Research Project, plus:
25 1-hour sessions with a top university mentor specializing in the student’s domain of choice
Targeted guidance on navigating the publication submission maze and access to our Science Communication Module
Expert advice on how to craft compelling projects to competitive events
Program Fees and Admissions
Program Fees: USD $5,000 (all inclusive)
Admitted students will be emailed a link for online payment. Payment plans available.
Application Deadline: December 15, 2024
Science Communication Module for Science Fairs and Journals
The Scientific Communication Module will be available as an add-on course for 25-session students. It consists of asynchronous videos, where experienced researchers will guide students step-by-step through the end-to-end workflow of identifying a venue, preparing their work appropriately, submitting, and revising.
Videos cover topics including:
The differences between journals and science fairs
Examples of accepted articles and science fair projects in different fields
Using principles of storytelling to structure your work for a journal
Pitching your work for a science fair application
Common mistakes to avoid when preparing your article and figures for journals
What to do and not to do when responding to presentation judge and audience questions
“What goes through a reviewer’s mind?”
Other workshop materials include:
“What venue should I submit to?” flowchart
Examples of work accepted to various science fairs and journals based on the field of study
Code snippets for common types of figures
Poster and presentation templates
AI + X Research Fellowship Certification
The AI + X Research Fellowship program allows students to showcase to build a comprehensive portfolio to show college admissions personnel the commitment to a long-term AI journey through in-depth independent research and mentorship.
