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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

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AI Detects Fake News

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Audrey L, Bernice L, Datta Kansal, Eric Wan, Ishan Khillan

We used Natural Language Processing to help people differentiate between real and fake news that they see online.

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GitHub Repository
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AI Mimics Tweets

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Jasper S, Kosi O, Max I, Max L, Max M, Shriya C

We built an AI to mimic the tweeting style of a user based on the user’s previous tweets.

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GitHub Repository
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AI Detects Toxic Comments

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Bella G, Elisa D, Kimberly C, Matthew W, Rachel Y, Shreeya G

We used Natural Language Processing to create an AI application that can detect toxic comments in text.


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GitHub Repository
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AI Detects Potholes

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Bryan L, Cheuk S, Londo H, Stephen T, Zi L, Zeina K

We used Computer Vision to create an AI application that can detect potholes from images.

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GitHub Repository
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Sentiment Analysis on Amazon Reviews

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Ari S, Evan C, Farzaan W, Rishabh D, Rishik D, Nikith G

We built an AI that can determine the sentiment of Amazon reviews through a set of words.

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GitHub Repository
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AI Identifies Celestial Bodies

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Andrew M, Arjun A, Harrison H, Lucas H, Miguel F, Vishnu M

We used Computer Vision to create an AI application that can identify celestial objects of our solar system through images.


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GitHub Repository
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AI Simulates Character Chats

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Alison R, Ayaan M, Ella G, Melissa W, Tyler C, Vivien H

We built an application to help simulate people and characters remotely through chat.


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GitHub Repository
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AI Generates Pickup Lines

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Ibne T, Michael K, Paljor T, Rachel E, Vinayak G

We used Natural Language Processing to create an AI application that can generate pick-up lines based on a few keywords.


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GitHub Repository
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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
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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
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AI Text Summarization

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Aaron S, Abhijay M, James P, Jeremy K, Pradyoth K, Tharune K

We created a text summarizer application to help people cut reading time on articles by giving them the main points.


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GitHub Repository
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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
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AI Detects Emotions

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Dylan S, Joshua Y, Kaitlyn D, Lucy M, Nidhi P, Ritviik R

We built an emotion detector to help tackle issues impacting people's social lives and provide assistance.


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GitHub Repository
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AI Classifies Garbage 

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Allister D, Harshith S, Isaiah R, Javier G-T, Safeeyah H, Zac B

We built an application to visually detect various types of waste and whether it should be recycled or not.


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GitHub Repository
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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.


Product Demo
GitHub Repository
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AI Identifies Endangered Marine Species

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Martin X, Nash W, Preston C, Ryan V, Satyam G, William S

We created this application to help identify endangered marine species in order to better protect them.

Product Demo
GitHub Repository
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AI Detects Cancer

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Anh T, Ben V, Faris F, Jimmy Z, Kami A, Zoe B

We built an application to help identify cancers that pose a risk of spreading throughout the human body.


Product Demo
GitHub Repository
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AI Detects Wildfires

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Griffin B, Manav B, Pierre Q, Smiriti D

Our product is designed to help fire fighters across the West Coast by alerting them of various fire risks.

Product Demo
GitHub Repository
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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.


Product Demo
GitHub Repository
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AI Creates Video Captions

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Chu L, Daniel G, John M, Justin N, Kashvi S, Madeline C, Victor J

We used Natural Language Processing to create an AI application that can generate captions off of an mp4/mp3 file.


Product Demo
GitHub Repository

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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