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Our students make real AI products that people can use.

By creating an AI product, our students apply what they have learned through first-hand experience of being an engineer, a product manager, or a data scientist. If you want to learn how to make these products, join us!

It will only take a min to apply. More than 5,000 students have done so.

AI Camp Product Demos

Gordan RamsAI

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Aidan P, Daniela G-G, Emnet G, Jonathan L

We used Computer Vision to build an AI application that can determine cuisine origins from images.


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GitHub Repository

DeepSpeak

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Anderson L, Hayden M, Madelyn D, Om M, Rex L, Willem G

We used Computer Vision to create an AI application that detects when people are speaking based on an image of their face.


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GitHub Repository

Architecture Classifier

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Benjamin H, Cashel F, Gabriel C, Joyce L, Susie H

We used Computer Vision to create an AI application that returns the architectural style of an image of a building.

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GitHub Repository

AI Detects Ingredients

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Ishaan V, Neev M, Pedro G, Sai T, Safia S

We used Computer Vision to detect and list different ingredients from a given image.

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GitHub Repository

ASL Sign Identifier

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Abhinav H, Brianne C, Neil M, Ryan C, Tiana V, Wei-Lin C

We used Computer Vision to create an AI application that can recognize American Sign Language in images.


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GitHub Repository

AI Plays Rock, Paper, Scissors

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Ayan S, Eshan K, Jaden C, Julianne R, Larson O, Mason P

We used Computer Vision to build an app that recognizes a person's hand signals for rock, paper, and scissors.


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GitHub Repository

AI Detects Fashion

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Arnav G, Dhruv A, Kenji G, Marcus D, Neel S, Teerthraj P

We used Computer Vision to create an AI application that can identify fashion trends through images.

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GitHub Repository

AI Navigates Streets in Your Native Language

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Antonio C, Druthi P, Hana S, Justin D, Justin W, Luke N

We built an AI to translate street signs of all shapes and sizes to your native language.

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GitHub Repository

AI Generates Haikus

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Anabella W, Asher W, Isabella L, Jay J, Owen H, Soham L

We used Natural Language Processing to build an app that generates haikus using a set of keywords.


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GitHub Repository

AI Classifies Sign Language

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Aditya D, Francisco C, Jerry C, Nahom E, Sean K, Srivanth R

We used Computer Vision to build an app that recognizes American Sign Language letters in images.


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GitHub Repository

AI Detects Languages

Ella H, Jessica Z, Joshua N, Samantha E, Shane K

We used Natural Language Processing to create an app that identifies the language of a piece of text.

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GitHub Repository

AI Converts SQL to Natural Language

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Benoit P, Eric C, Jeremi F-D, Nehemiah Y, Sophia R, Vibha J

We used Natural Language Processing to create an app that translates SQL to Natural Language.


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GitHub Repository

Automate Currency Exchanges

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Axel M, Brandon A, Catrin T, Miha B, Pranav G, Sameer N

Our currency detector can help banks facilitate the exchange of different currencies in an automatic fashion.


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Aadi C, Andrew S, Kyuwon K, Pranauv V, Satvik M

This AI product is to help people to learn about American Sign Language.


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Join us, make something cool,
and be ready for the future.

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Bernice Lau

"My experience at AI Camp was very insightful and rewarding. I'm really grateful to have had this opportunity because I was not only able to expand my knowledge in Python, but I was also able to implement machine learning and AI training models to large-scale products in a fast-paced environment, all while developing valuable skills at the same time."

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Kai Karadi

"My favorite part of the classes was the lecture that Richard gave... about precision, recall, and evaluation. He went at the perfect pace for me and his use of examples really solidified my understanding. Without the fraud example, I don't think I would have understood the difference between precision and recall, nor why each was important in different settings."

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Lauren Park

"I really enjoyed the lectures on training neural networks! Learning about back propagation was really interesting and I hope to learn about the math formulas after taking calculus. My favorite part of the class was coding the buttons and other things with flask for my team's project website. Even though it was confusing at times, it was a fun challenge!"

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Jack Lieberman

"I liked the interactive piece during the lesson. I also liked learning about linear regression because I learned about it in school, but not with some of the technicalities about it and definitely not with anything code-related."

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Sidharth Mandava

"I liked our expansion of pandas, although it was somewhat difficult. I will probably review over the weekend, to make sure that I am at a good place to continue learning next week. I also liked the lecture on using data to make career decisions... that will be helpful to me in the future."

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Zihan Wang

"I loved that I actually got to do some hands on coding on assigning vectors to tokens and gain a deep understanding of how neural networks work. [I was also] able to thoroughly understand why clearing up data is so important for Artificial Intelligence."

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