Build an Impactful AI Project
What do self-driving cars, Alexa, automatic cancer diagnosis, and ChatGPT 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 of 5-6 students to implement a mentor-led socially impactful AI project.
Structure of an AI Scholars Project
Students will implement Computer Vision or Natural Language Processing models using Python and associated AI libraries to build this project. The project will help students understanding the data science pipeline for a real-world problem:
Data Cleaning and Visualization
Building the Initial AI Model
Interpreting Results and Improving the AI Model
Creating and Delivering Final Presentations and Results
Final Day: Students present their project to parents and guests on the final day. Motivated students may build a web application to showcase their project.
Project Highlights for 2026
TruthLens: Deepfake Detection
Building and testing computer vision models to detect deepfakes and AI-generated media while examining their impact on digital security.
Precision Medicine in Colorectal Cancer
Automating the
classification of colorectal tissue types to reduce diagnostic variability.
SmokeSignal: Early Wildfire Detection
Developing AI models to detect early wildfires and assess risk while addressing the challenges of reliable, life-critical deployment.
AI and 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.
Embodied Intelligence: Robotics for Search and Rescue
Training a search-and-rescue robot using computer vision, diffusion policies, and simulations to respond to natural disasters.
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.
“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
AI Scholars Project Experiences
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Arnav D. | Now at Caltech
AI + ASTRONOMY: SEARCHING FOR EXOPLANETS
“What was most memorable for me was the intellectually stimulating discussions we had throughout the program and the highly intuitive introduction to fields like Natural Language and Computer Vision.”
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Laasya E. | Now at University College London
AI + HEALTHCARE: PNEUMONIA DETECTION
“Two weeks of learning, brainstorming, debating and coding quite dramatically changed my outlook for the future. We explored the different realms of AI and its amazing real-world applications, from fake news detection to medical imaging. It was these experiences and people I met that encouraged me to apply to UCL to study Computer Science.”
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Ethan H. | Now at UCLA
AI + HEALTHCARE: COVID GENOME TRACING
“I worked on the CoV-SARS-2 genome location tracing project and was able to apply my experience of this project to my current research in biomolecular modelling, which utilizes the Python numpy and scikit packages that I first touched upon during this project in Inspirit AI.”
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Dhruv J. | Now at Imperial College London
AI + LANGUAGE: UNDERSTANDING SIRI
“I worked on the Understanding Siri project in the Inspirit AI Scholars program. I believe this project helped me understand how to implement NLP and state-of-the-art machine learning transformers like the BERT. This project built my interest in natural language processing, and because of that I'm now building my own NLP application.”
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Ayush S. | Now at UC Davis
AI + HEALTHCARE: PNEUMONIA DETECTION
“The pneumonia detection project introduced me to the general machine learning research process, so that I now know how best to continue my journey through learning about computers and what to look for. I spent much time outside the program re-reading our project's code and learning from courses online which the Inspirit AI program instructors had informed me about.”
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Kalissa G. | Now at Stanford
AI + POLITICAL SCIENCE: CRIMINAL JUSTICE
“As an AI Scholar this past year, I collaborated on an AI project that focused on social justice and engaged with fellow students and instructors who have a passion for AI. Having this opportunity to advance my AI skills and learn how AI can be used in so many ways to positively impact society was an invaluable experience prior to college.”
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Varun M. | Now at University of Illinois
AI + ENGINEERING: OBJECT DETECTION
“As a CS major at the University of Illinois right now, I get the choice to explore multiple areas of CS in my upcoming years... [the program] has developed my interest for AI … I am excited to explore.”
Project Curriculum Developers
Meet some of our exceptional team working to develop exciting new projects based on their own research and expertise in AI.
Brianna Chrisman
Healthcare Projects
Education: Stanford, PhD student in Bioengineering
Yale, Bachelor’s in Biomedical Engineering
Research/Industry Experience: Works in Dennis Wall's lab in computational genomics, specifically related to evolutionary virology and structural genetic variation. Previously worked as a software engineer at Google.
Aansh Shah
Finance and Business Projects
Education: Brown, Master’s in Computer Science
Brown, Bachelor’s in Applied Math and Computer Science
Industry Experience: Currently an engineer at Amazon working on the Alexa AI. Interests include explainability in AI and deploying models at scale in the world.
Erica Yuen
Arts and Humanities Projects
Education: MIT, Master’s in Computer Science
MIT, Bachelor’s in Computer Engineering
Research Experience: Focus in Human-Computer Interaction, computer vision, image processing. Perviously explored how we can use machine learning to enable creativity.