AI Camp Product Demos

AI Detects Fake News

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

We used Natural Language Processing to create a fake news detector that helps people differentiate between real and fake news that they see online.

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GitHub Repository

AI Mimics Tweets

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

AI Generates Pickup Lines

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

Gordan RamsAI

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

AI Identifies Celestial Bodies

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

ASL Sign Identifier

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

Crystal Vision

Arnav S, Christopher H, Jaedyn T, Shivani M, Varini K, Winston Y

We used Computer Vision to create an AI application that can help individuals streamline rock and crystal classification.

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GitHub Repository

AI Detects Hate Speech

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 Identifies Digits

Duong T, Grace C, Hartigan D, Jason C, Preyansh J

We used Computer Vision to build an app that recognizes integers from images.

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GitHub Repository

Technology Detector

Brandon L, Donovan F, Jaywun J, Nishchay J, Peter D, Theo Z

We built an AI that can detect different forms of technology present in an image.

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GitHub Repository

AI Plays Rock, Paper, Scissors

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 Generates Children's Stories

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

AI Helps Store Owners during COVID-19

Catherine H, Katie S, Madeleine B, Rahul G, Sarghi S

We created a mask detector to help store owners to keep everyone safe.

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AI Detects Brain Tumors

Kaiden H, Shreyaa K, Joshua S, Sidharth M, Sanjay M, William N

We used Computer Vision to build an app that detects brain tumors from images.

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GitHub Repository

AI Detects Wildfires

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.

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GitHub Repository

AI Identifies Endangered Marine Species

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.

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GitHub Repository

Cloud Identification

Andrew C, Neil G, Prarthan G, Rahul R, Yuping W

We used Computer Vision to create an AI application that can identify cloud types from images.

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GitHub Repository

Architecture Classifier

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

Jokinator

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 Creates Video Captions

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

AI Detects Weapons

Andrew L, Cindy C, Donghyung K, Melissa M, Rebecca C, Sricharan G

We built an AI that can recognize potentially dangerous situations involving firearms through images and videos.

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GitHub Repository

Sentiment Analysis on Amazon Reviews

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 Cancer

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.

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GitHub Repository

AI Generates Text with Sentiment Analysis

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

Self-Driving Cars Perception

Alexander Z, Cathy T, Riley C, Samantha S, Siddhant H

Self-driving cars are complex - one of the most important components of them is the perception module. Here we created and trained an application that can recognize street signs such as stops signs and traffic lights.

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AI Conducts Food Research

Faguni G, Justin L, Sai R-S, Steffi M, Sriram N

We created this application using NLP to analyze healthy vs. unhealthy food ingredients.

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Automate Currency Exchanges

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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AI Detects Emotions

Aryansh C, Beatrice M, Clement O, Thomas C, Muti S

We created this application so that people with autism can use this application to tell basic human emotions.

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

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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