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 Hub students will work collaboratively in small groups 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.
“The project I worked on was very eye opening for me because I had the chance to see that racial bias not only existed in the human world, but also in the never ending world of technology. With this newfound passion, I wanted to discover more about AI, and I thank Inspirit for opening a part of me I didn’t know existed.”
— Christina L., Los Altos High School
Build an AI Project for Social Good
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. AI is poised to transform our economy, homes, healthcare, transportation, agriculture, education, and more. In the AI Scholars program students will work in small groups to implement their mentor-led socially impactful AI project.
LungDetect AI: Detection of Infectious Lung Diseases from X-Rays
Improving medical diagnosis by using computer vision systems to detect
pneumonia from chest X-rays.
Moneyball: AI, Sports, and Business
Using machine learning to analyze baseball statistics, identify predictors of success and undervalued players, and make data-driven decisions.
Planet Hunters: Searching for Exoplanets with AI
Using data collected from NASA’s Kepler telescope to train AI to detect
exoplanets.
Problem to Prototype: Build a Personalized AI Assistant
Design and build a personalized AI assistant to create a focused, high-impact solution to a real-world problem.
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.
TruthLens: Deepfake Detection
Building and testing computer vision models to detect deepfakes and AI-generated media while examining their impact on digital security.
Inspirit AI Instructor and MIT Student Varsha Sandadi explains how Artificial Intelligence is transforming various industries and domains.
