AI Scholars Projects — Inspirit AI Silicon Valley

Build an Impactful AI Project

What do AI agents, deepfakes, and medical imaging have in common? They are driven by modern advances in Artificial Intelligence. AI is poised to transform our economy, homes, cities, healthcare, transportation, agriculture, education, and more.

Inspirit AI students will work collaboratively in small groups to implement a mentor-led socially impactful AI project.

Structure of an AI Scholars Project

Students will use modern AI tools, including machine learning, computer vision, generative AI, or language models, to solve a real-world challenge. Across projects, students will experience the full AI development process:

Understanding the Problem: Explore the domain, data, and real-world impact.
Building with ML & AI: Develop and improve models, agents, or intelligent systems.
Testing and Iterating: Evaluate results and explore ethical considerations.
Deploying and Showcasing: Launch a live prototype and build a professional portfolio.

Final Day: Students present their project to parents, instructors, and guests, with work they can later showcase on GitHub, LinkedIn, resumes, and college applications.

Build an AI Project in a Field You Care About

Our team of graduate student instructors from Stanford, MIT and other leading universities have diverse academic and professional experiences and mentor AI projects in a variety of domains. Students work in small groups to implement their mentor-led socially impactful AI project.

AI +

Healthcare

Astrophysics

Engineering

Sustainability

Media

Entrepreneurship

Finance

Education

Law

Sports

and more

Project Highlights for 2027

TruthLens: Deepfake Detection

Building and testing computer vision models to detect deepfakes and AI-generated media while examining their impact on digital security.

AI + Healthcare:
Precision Medicine in Colorectal Cancer

Automating the classification of colorectal tissue types to reduce diagnostic variability.

Problem to Prototype:
Build a Personalized AI Assistant

Identifying a real-world problem and designing a personalized AI assistant to address it, using OpenAI’s models and tools.

AI + Investing: Detecting Meme-Stock Surges from Social Media

Building NLP models to analyze social media sentiment and its influence on stock prices, while exploring ethical considerations.

AI + The Future of Work: Analyzing Job Exposure to Gen AI

Analyzing how generative AI impacts the workforce by measuring job exposure to automation and producing a policy or career brief on reskilling and adaptation.

Moneyball: AI, Sports, and Business

Using machine learning to analyze baseball statistics, identify predictors of success and undervalued players, and make data-driven decisions.

“My experience with AI as part of this program helped me learn the necessary skills to do later AI-focused internships, research, and so much more. I got asked tough AI-focused questions on my interviews, and the knowledge I gained from Inspirit AI helped me answer them. I also think that the signaling of having a program like this on my resume helped me prove my credibility to interviewers.”

— Nina Khera, Inspirit AI Scholars Alum, Now at Harvard University

Artificial Intelligence Project Options

AI Scholars complete a project at the intersection of AI and their interest discipline. The program offers projects for aspiring artists, engineers, journalists, biologists, entrepreneurs and more!

“AI Scholars was my first introduction to AI, sparking my passion for the field and setting me on my current path. It gave me a foundation in machine learning and problem-solving, which shaped my academic interests and led me to pursue AI and computer vision in college.”

— Victor Chen, Inspirit AI Scholars Alum, Now at Stanford University

Meet Inspirit AI Project Mentors

Our team consists of alumni and graduate students from Stanford University who have done cutting-edge research, and have founded several AI startups that have been acquired by large tech corporations.