ML Olympiad 2024: Globally Distributed ML Competitions by Google ML Community
Posted by Bitnoori Keum – DevRel Community Manager
The ML Olympiad consists of Kaggle Community Competitions organized by ML GDE, TFUG, and other ML communities, aiming to provide developers with opportunities to learn and practice machine learning. Following successful rounds in 2022 and 2023, the third round has now launched with support from Google for Developers for each competition host. Over the last two rounds, 605 teams participated in 32 competitions, generating 105 discussions and 170 notebooks. We encourage you to join this round to gain hands-on experience with machine learning and tackle real-world challenges.
ML Olympiad Community Competitions
Over 20 ML Olympiad community competitions are currently open. Visit the ML Olympiad page to participate.
Smoking Detection in Patients
Predict smoking status with bio-signal ML models
Host: Rishiraj Acharya (AI/ML GDE) / TFUG Kolkata
TurtleVision Challenge
Develop a classification model to distinguish between jellyfish and plastic pollution in ocean imagery
Host: Anas Lahdhiri / MLAct
Detect hallucinations in LLMs
Detect which answers provided by a Mistral 7B instruct model are most likely hallucinations
Host: Luca Massaron (AI/ML GDE)
ZeroWasteEats
Find ML solutions to reduce food wastage
Host: Anushka Raj / TFUG Hajipur
Predicting Wellness
Predict the percentage of body fat in men using multiple regression methods
Host: Ankit Kumar Verma / TFUG Prayagraj
Offbeats Edition
Build a regression model to predict the age of the crab
Host: Ayush Morbar / Offbeats Byte Labs
Nashik Weather
Predict the condition of weather in Nashik, India
Host: TFUG Nashik
Predicting Earthquake Damage
Predict the level of damage to buildings caused by earthquake based on aspects of building location and construction
Host: Usha Rengaraju
Forecasting Bangladesh’s Weather
Predict the rainy day; amount of rainfall, and average temperature for a particular day.
Host: TFUG Bangladesh (Dhaka)
CO2 Emissions Prediction Challenge
Predict CO2 emissions per capita for 2030 using global development indicators
Host: Md Shahriar Azad Evan, Shuvro Pal / TFUG North Bengal
AI & ML Malaysia
Predict loan approval status
Host: Kuan Hoong (AI/ML GDE) / Artificial Intelligence & Machine Learning Malaysia User Group
Sustainable Urban Living
Predict the habitability score of properties
Host: Ashwin Raj / BeyondML
Toxic Language (PTBR) Detection
(in local language)
Classify Brazilian Portuguese tweets in one of the two classes: toxics or non toxics.
Host: Mikaeri Ohana, Pedro Gengo, Vinicius F. Caridá (AI/ML GDE)
Improving disaster response
Predict the humanitarian aid contributions as a response to disasters occurs in the world
Host: Yara Armel Desire / TFUG Abidjan
Urban Traffic Density
Develop predictive models to estimate the traffic density in urban areas
Host: Kartikey Rawat / TFUG Durg
Know Your Customer Opinion
Classify each customer opinion into several Likert scale
Host: TFUG Surabaya
Forecasting India’s Weather
Predict the temperature of the particular month
Host: Bilal Aamer & Mohammed Moinuddin / TFUG Hyderabad
Classification Champ
Develop classification models to predict tumor malignancy
Host: TFUG Bhopal
AI-Powered Job Description Generator
Build a system that employs Generative AI and a chatbot interface to automatically generate job descriptions
Host: Akaash Tripathi / TFUG Ghaziabad
Machine Translation French-Wolof
Develop robust algorithms or models capable of accurately translating French sentences into Wolof.
Host: GalsenAI
Water Mapping using Satellite Imagery
Water mapping using satellite imagery and deep learning for dam drought detection
Host: Taha Bouhsine / ML Nomads
Navigating ML Olympiad
To see all the community competitions around the ML Olympiad, search “ML Olympiad” on Kaggle and look for further related posts on social media using #MLOlympiad. Browse through the available competitions and participate in those that interest you!
