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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

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

Jokinator

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Alex L, Celso C, Harry T, Kaden G, Kennesha G, William J

We used Natural Language Processing to build an AI application that can generate jokes based on keywords.

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GitHub Repository

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

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.


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GitHub Repository

Connotation Translation

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Chris Y, Harry R, Nathan X, Neil H

We used Natural Language Processing to create an AI application that can create text using different connotations.

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GitHub Repository

AI Detects Sarcasm in Headlines

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Aakash P, Avery C, Jessie L, Jesslyn G, Mawa C

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

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GitHub Repository

AI Detects Hate Speech

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Annie V, Nimi N, Ralph L, Tabito S, Tanaya M

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


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GitHub Repository

AI Generates Song Lyrics

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Alexa G, Derek L, Jake K, Jay H, Kelvin, Nandita I

We built an AI that can generate lyrics when given some keywords.

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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

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

AI Detects Spam Messages

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Austin O, Ethan L, Kylie T, Patrick K, Quin Y

We used Natural Language Processing to build an AI that detects spam messages in texting apps.

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GitHub Repository

Ghost Writer

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Charlotte K, Jack L, Nick G, Ojas K, Thomas P, Yasmin O

We built an AI to generate text for authors by inserting text that can be further developed and revised for publication.

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GitHub Repository

Find Your Next Book

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Alec W, Alexandra F, Ekumjyot K, Isabel C, Max K, Suki Z

We built an app to generate book recommendations based on what books the user previously read.

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GitHub Repository

AI Detects Emotions in Text

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Charlotte K, Jimmy L, Justin L, Peter Z, Tyler D

We built an app that can read through a block of text and determine the polarity or sentiment of the text.


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GitHub Repository

AI Generates Rap Lyrics

Gabriel C, Leo D, Marissa F, Miriam D, Zihan W

We used Natural Language Processing to build an app that can generate rap lyrics based on keywords.

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GitHub Repository

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

AI Detects Text Negativity

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Brooks P, Jeremiah R, Lincoln R-T, Sama S, William Q

Sometimes text can be confusing and the way we interpret text can get disoriented or lost in translation. Our product takes any text and identifies whether it is negative of not.


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GitHub Repository

AI Generates Text with Sentiment Analysis

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Alyzee S, Charlotte C, Claire A, Isaac C, Raphael C, Verina K

We built a text generation AI that will generate text with specific parameters to mimic a human's emotions.

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GitHub Repository

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

AI Generates Children's Stories

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Jay W, Neel B, Rachel E, Sam K, Vivek N

We created this project to provide a convenient way to write new stories for children.


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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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