About CXC

Join us for the 5th year of Waterloo's largest student-run AI hackathon this February 6th to February 8th! We are a beginner-friendly AI hackathon that brings together students and companies to build projects that solve real-world problems. Join us again this year for a weekend of hacking and fun!

CXC Event 1
CXC Event 2
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You Belong Here

Meet a community of like-minded hackers, network with our company sponsors and judges, and build the project you've always been dreaming of. With AI at the forefront of the world recently, CXC is the perfect place for veterans and fledgling hackers to get started!

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In prizes

A Fresh New Spin

For this iteration of CXC, we've decided to switch things up and pivot to a full in-person weekend experience. Hackers who are familiar with past CXCs can enjoy a change of pace with an eventful weekend of in-person connections, workshops, sponsor networking events, and activities!

Past Projects

CXC 2025

CXC 2025 UFO
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Lasagna

AI-powered next-action recommendations to boost user engagement, streamline decision-making, and enhance personalized experiences with intelligent automation.

Lasagna

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Macrodata Refinement

Submission to CxC 2025 SAP Challenge, Poverty Analytics

Macrodata Refinement

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Adaptive Workflow Engine

Leveraging causal inference, predictive modeling and interactive graph visualizations to optimize user navigation and enhance engagement on the Federato RiskOps platform

Adaptive Workflow Engine

CXC 2024

CXC 2024 UFO
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Monke

Predict missing IAQ values with the power of Tensorflow, multivariate LSTMs and monkes!

Monke

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Quadreal Challenge

We attempt to devise a solution to predict missing values for data generated by Indoo Air Quality sensors in the occasion of outages.

Quadreal Challenge

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Our ML Churney

Leveraging historical data from Infinite Investment Systems, research on wealth management, and ML techniques to build a highly performant predictive model.

Our ML Churney

CXC 2023

CXC 2023 UFO
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GNN + LSTM embedding

Classification model for binding sites using an LSTM + GNN

GNN + LSTM embedding

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j4noronh_Intact

Trained a Medical Document classifier using HuggingFace's XLNet NLP Model. The project contains the predictions, and a notebook outlining the process.

j4noronh_Intact

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Team Snowflakes

A classification model to predict the drug binding sites on AlphaFold2-predicted proteins.

Team Snowflakes

Interested in sponsoring CXC? Click the button to get in touch.

FREQUENTLY ASKED QUESTIONS

Have more questions? Feel free to reach out to us at contact@uwdatascience.ca or in the discord with any questions.

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