Our Work

We spread Computer Science education throughout high schoolers and introduced many students into the field of Computer Science. We have influenced collaboration and competition through many ways, whether it is through monthly hackathons (where students can comptete with other people and create projects) and workshops.

2021-2022 Coding Club activities

Hackathon 1

About Me Website

Other Projects

Projects from other hackathons and competitions

Click here

2020-2021 Coding Club activities

Hackathon 1

Make Somebody Happy

Be Inspired (Arvind Ganeshkumar)

Tic Tac Toe A (Ansh Aggarwal)

Compliment Generator (Arya and Shivani)

More projects

Hackathon 2

"A Program That Can Help me Survive an Island"

Mushroom, Plants, and Berry Identifier (Zuyu Liu)

Higher or Lower (Twitch & Tiktok Edition) (Kevin Yuvaraj, Alex Yoo, and Andrew Kim)

IslandGame (Stephen Thomas and Rishi Singhvi)

Choose Your Fate With The MAGICAL GENIE! (Aditya Gupta)

Survival Bag (Alexander Zhuang)

Hackathon 3

Cringe Website

Cringy Memes (Stephen Thomas, Rishi Singhvi, Monish Gandhi, Subhayan Bhattacharya, and Arvind Kakanavaram)

Cringe 2.0 (Aditya Gupta, Ansh Aggarwal, Aashman Sharma)

Chicago Bears Cringe (Srimanth Chandraiah)

Cringe Worthy Memes Website (Kuldeep Debnath and Leo Thomas)

Hackathon 4

Template/API Challenge

Numonix (Yash Anand) (Website)

Numonix (Yash Anand) (GitHub Code)

Other Projects

Projects from other hackathons and competitions

Click here

Kaggle Team

Kaggle Team is a competitive coding group led by Arnav Sangamnerkar that competes as a group in various computer/data science competitions on Kaggle.com.

Food Classification

Given a dataset of labeled images of food, we used Computer Vision and Convolutional Neural Networks to create an AI model that can identify and classify pictures of different types of food.

Link to Code

Aerial Cactus Identification

In this project we used a labeled dataset of cacti to train a Computer Vision model to identify whether a given image had a cactus in it.

Link to Code

A Data Analysis of the 2016 Primary Elections

Using a dataset containing voter demographics of the 2016 primary elections, we completed and published an in-depth data analysis of voting trends.

Link to Code

More Kaggle Projects

Click the link to see more in-progress or more short-term projects Kaggle team has completed.

Link to More Projects

Welcome to

OUR TEAM

Mr. Charles Nichols

2021-2022 Leaders

Sanjeev Devarajan

Yash Anand

Andy Kim

Arnav Sangamnerkar

2020-2021 Leaders

Pavan Pandurangi

Yug Mittal

Arnav Sangamnerkar

Our Work

2021-2022 Coding Club activities

Hackathon 1

About Me Website

Other Projects

Projects from other hackathons and competitions

2020-2021 Coding Club activities

Hackathon 1

Make Somebody Happy

Hackathon 2

"A Program That Can Help me Survive an Island"

Hackathon 3

Cringe Website

Hackathon 4

Template/API Challenge

Other Projects

Projects from other hackathons and competitions

Kaggle Team

Food Classification

Given a dataset of labeled images of food, we used Computer Vision and Convolutional Neural Networks to create an AI model that can identify and classify pictures of different types of food.

Aerial Cactus Identification

In this project we used a labeled dataset of cacti to train a Computer Vision model to identify whether a given image had a cactus in it.

A Data Analysis of the 2016 Primary Elections

Using a dataset containing voter demographics of the 2016 primary elections, we completed and published an in-depth data analysis of voting trends.

More Kaggle Projects

Click the link to see more in-progress or more short-term projects Kaggle team has completed.

Hackathons/Competitions we have participated in

Computer Science Colleges some of our students have gotten into

Jobs/Internships our students worked at

Address