COMPUTER SCIENCE CLUB PRESENTS

SmartCat Hackathon

CPP26's Hackathon is finally here!
Registration is currently open.
Take your time to make your extraordinary teams.

Introduction

Overview

The need for sustainable and intelligent industrial solutions has never been greater. SmartCat Hackathon invites the next generation of student innovators to tackle one of energy's most complex and high-stakes challenge.

Inspired by Saudi Vision 2030 and the drive toward a smarter, more efficient energy sector, this hackathon positions you, brilliant CPP students, as key drivers of technological change in real-world refinery operations.

Context

Background

Catalysts drive the chemical reactions that convert crude oil into gasoline, diesel, and jet fuel. Over time they degrade through coking, poisoning, and physical breakdown. A single catalyst charge costs $5-20M, making lifecycle management one of the most critical decisions in refinery operations.

Challenge

The Problem

Right now, refineries manage catalysts the same way you might manage a car with no dashboard. They wait for something to go wrong, follow fixed schedules, and replace parts too early or too late. This costs millions. The goal is to build a system that can look at a catalyst's structure and history and predict when it will start to fail, before it actually does.

Motivation

Why Join?

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Teamwork Skills

Develop essential collaboration and communication skills you'll rely on throughout your academic and professional career.

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Prepare for Abroad

Almost every student at our school will study abroad. Group projects are central to that experience โ€” this hackathon is your training ground.

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Prizes

Winners will be featured in the yearbook and awarded during the CPP graduation ceremony.

So don't miss out on this wonderful chance!

Rules

Participation

Teams must consist of 3โ€“5 students. Multidisciplinary teams are highly encouraged.

๐Ÿ‘ฉโ€๐Ÿ’ป Computer Science
โš™๏ธ Engineering
๐Ÿ“Š Business


Software

All implementation is to be implemented in Google Colab only.

Teams are free to use any open-source libraries, frameworks, and simulation software.

You may use Graph Neural Networks (GNNs) to model the catalyst degradation process.

Use of AI is encouraged.

Judging

Evaluation Criteria

a ยท Feasibility40%
i ยท Technical Viability30%
ii ยท Cost Efficiency10%
b ยท Innovation20%
c ยท Presentation10%
2 ยท Prototype25%
3 ยท AI Utility5%
Idea โ€” 70%
Prototype โ€” 25%
AI Utility โ€” 5%
Schedule

Timeline

1

Registration Opens

March 14

2

Registration Closes

April 1

3

In-Person Development Stage

April 12

4

Final Project Presentations

April 15

5

Winners and Prizes

June 23