To practice, showcase, or validate your Machine Learning and Artificial Intelligence skills participating in hackathons is indeed the best way out there. There are various standard Machine Learning hackathons that provide you with the right environment to work on enriching ML/AI projects. Also, numerous renowned tech giants often hire candidates based on their performance in these hackathons and you stand a chance to get some exciting prizes and career opportunities too.
HackerEarth
It is a compilation of tutorials in increasing levels of difficulty similar to a course curriculum. These tutorials are backed with some practical test problems that help you kickstart your journey toward learning machine learning. This section also includes winning approaches and codes for previous HackerEarth-powered Machine Learning and Deep Learning challenges, which will help you learn from the experts. To cater to learners with varied interests and different levels of expertise and business with specific requirements, there are three types of challenges – Machine Learning Challenges, Deep Learning Challenges, Hiring Challenges.
Google AI Hackathon
Participate in the Google AI Hackathon and build creative apps using generative AI tools with Gemini. The winners stand a chance to win up to $50,000 in prizes, along with recognition from Google and meetings with the Google Labs team. Submit your code repository URL and a 3-minute demo video showcasing your app. Prizes will be awarded for creativity, business value, technical implementation, and community impact. Join this global hackathon to showcase your skills, innovate with AI, and win valuable rewards.
Data Crunch
It majorly conducts intermediate-level Machine learning, Artificial Intelligence, and other hackathons. As well as competitions in which you can create ML use cases that solve a particular problem. Either of business or society. Indeed, the credit for the success of this platform goes to its 43 members who are always involved in scraping financial data. And then model it into investment strategies with the help of Machine Learning and some decision-making statistics. So, hurry up and register for the ongoing Data Crunch’s hackathon. It can level up your data science skills and also, help you earn goodies, badges for your achievements.
Codalab
CodaLab is an open-source platform that hosts a variety of machine learning competitions across research, education, health, and public services. Notably, the organizers designed some of these competitions to run indefinitely, giving participants ample time to develop and refine their solutions collaboratively. One such ongoing competition is the NCSU USDA Hackathon, which began on October 8, 2021, and currently has no specified end date. The training dataset comprises 214,109 labeled images, organized into subfolders corresponding to each species. Participants are challenged to develop accurate classification models and submit their predictions for evaluation on the platform’s leaderboard.
Data Science Student Championship
AI developers’ go-to platform, MachineHack, and Praxis Tech School are collectively calling upon the bright minds from engineering colleges and universities to participate in the third edition of the ‘Data Science Student Championship’. This collaboration invites undergraduate and postgraduate students from academic institutions across India to engage in the hackathon.
Whether you’re looking to push your limits, collaborate with experts, or showcase your innovative solutions. Machine learning hackathons provides an incredible platform for growth and recognition.
