1:1 Generative AI Innovation Lab for High School Students
Build a competition-ready AI product with an experienced mentor from Stanford, MIT, and other leading universities, no prior programming experience required. Complete a competition submission package including pitch deck, product demo video, and/or written narrative for the Congressional App Challenge, Presidential AI Challenge, and other prestigious competitions
1:1 Program: Gen AI Innovation Lab
Inspirit AI offers a 1-on-1 product mentorship program for middle and high school students to work individually with an experienced mentor from an Ivy League college. In this 1:1 program, students will:
Identify a real problem, define the target user, and design and build an AI-powered app or tool to solve it through 1:1 guidance from an experienced mentor
Complete a functional AI product and competition submission package (pitch deck, product demo video, and/or written narrative depending on the competition)
Receive targeted guidance on entering entrepreneurship competitions such as the Congressional App Challenge, Presidential AI Challenge, or Diamond Challenge.
Program Outcomes
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Students will graduate with a polished research paper or functional prototype.
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Students will leave with a portfolio project that stands out in college applications, competitions, and entrepreneurship challenges.
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Students will gain the ability to apply AI critically and creatively to their chosen field, without needing prior programming experience.
Program Features
10 or 25 1:1 Mentorship Sessions
with an experienced AI mentor from Stanford, MIT, or an Ivy League with industry experience building and deploying AI products.
Guided Product Development Experience
from problem discovery and user research, to vibe coding and app building — eventually culminating in a competition-ready product and pitch.
Access to AI Tools and Build Resources
including vibe coding tools, deployment platforms, and entrepreneurship frameworks for students building in healthcare, education, climate, social impact, and more!
Competition Preparation
resources to prepare students for entrepreneurship and AI competitions including the Congressional App Challenge, Presidential AI Challenge, etc.
Our 1:1 Program students have won prestigious high school competitions and science fairs, including…
Presidential AI Challenge
Competition Deadline: January 20
Competition for K-12 students to develop AI-based solutions for community challenges. There are two project tracks: proposals and technical implementations.
Congressional App Challenge
Competition Deadline: October 30
Competition for U.S. middle and high school students. Students submit original software applications for any platform (mobile, web, computer) on any topic.
Diamond Challenge
Competition Deadline: January 15
Global entrepreneurship competition for high school students, inviting them to develop and pitch original business or social venture concepts for a share of over $100,000 in awards.
GENIUS Olympiad
Competition Deadline:
March 7
The GENIUS Olympiad Business category
challenges high school students to develop innovative, sustainable business models and plans that solve environmental issues.
Program Logistics and Contact
This program runs for 10 or 25 sessions of 1 hour each.
Upcoming Start Dates:
May 10, June 10, July 10, August 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
1:1 Gen AI Innovation Lab Project (10 hours): USD $2500
1:1 Gen AI Innovation Lab Fellowship (25 hours): USD $5000
Admitted students will be emailed a link for online payment. Payment plans available.
Application Deadline: April 30, 2026
1:1 Gen AI Innovation Lab Learning Journeys
Two-Stage Classification of Avalanche Problems and Danger Levels Across Elevation Bands in Colorado
Justin S., Carnegie Mellon University, Class of 2030
Mentored by Ivan Rodriguez, Brown University
Mapping Musical Mood with Unsupervised Learning: PCA Spaces and Cosine-Similarity Recommendations
Kaleb Mercado, Yale University, Class of 2030
Mentored by Claire Chang, Stanford
Machine Learning Algorithms for Consumer Plastics Identification and Sorting
Alexander Ko, Harvard University, Class of 2028
Mentored by Eric Bradford, MIT
Get Access to Competition Preparation Resources
Competition-Specific Resource Guides
Problem Scoping
Guide
Prompt Engineering & Vibecoding Guides
Competition Deliverables Guide
Database of Competitions
Student Project Examples
“Oneironaut A.I.”
Oneironaut is an A.I. assisted dream journal focused on mental health powered by a RAG-enhanced LLM that interprets users' dreams and suggests advice.
“Disaster Response”
This paper presents an AI-powered drone rescue path planning system that computes safe and efficient navigation trajectories through disaster-stricken environments using satellite and aerial imagery.
“TruCheck AI”
TruCheck AI is an artificial intelligence driven web application designed to combat the spread of misinformation and deep political bias in modern news by providing detailed, easy to comprehend, and thorough analysis of online articles.
“Cardiovascular Health Tracker”
This project uses AI-assisted data analysis within a wearable device and mobile application system to monitor heart rate and motion data and provide health analytics.
Meet Some of Our 1:1 Gen AI Innovation Lab Mentors
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Summer Royal
AI + HEALTHCARE
Master’s in Computer Science and Bachelor’s in Biomedical Computation at Stanford -
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Mia Gancayco
GEN AI + NLP + AI ETHICS + ENGINEERING
M.S. in Engineering at Columbia | B.A. in Computer Science at WC
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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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Cooper Bosch
AI + PHYSICS
Master’s in Computer Science and Bachelor’s in Biomedical Computation at Stanford
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Odysseas Drosis
AI + MUSIC, FINANCE, BUSINESS
Senior Machine Learning Engineer | Ph.D. in Computer Science from EPFL | Master of Engineering from Cornell
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Henry Cerbone
AI + BIOLOGY & ROBOTICS
Ph.D. in Computational Biology at Oxford, Master’s in Computer Science from Harvard
Gen AI Innovation Lab Fellowship Certification
The Gen AI Innovation Lab 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.
