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OpenAI Hackathon

Create Applications Using Generative AI!

🗓️ This will be a week of hacking and fun from 24 February to 3 March 💻 Create innovative new apps with OpenAI's latest AI tools 💡 Learn from top AI professionals ⚒️ Combine GPT-3, Codex, Dalle-2, and Whisper to build your AI app 🐱‍💻 Now is the time to register and let's get started!
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Join Us! 🙌

Join the OpenAI Hackathon to learn and work with advanced AI technologies like Whisper, GPT-3, DALL-E 2, Codex, and ChatGPT. Open to all skill levels. Come collaborate and build innovative projects with others at the forefront of AI research and development.

Test Yourself!

Challenge your skills at the AI Hackathon! Use the latest OpenAI tools to create innovative apps over seven days and see what you can accomplish with AI.

Learn From AI Experts

Join top AI experts at the AI Hackathon for guidance and support as you work on your project. Enhance your skills and join the ranks of the world's top AI professionals.

Register Now!

This event is open to everyone, regardless of their level of experience. Join us and see what you're capable of, and take your skills to the next level. Register now!


OpenAI is a leading company in the field of AI research and deployment. The company was founded in 2015 in San Francisco by a group of prominent figures in the tech industry, including Elon Musk, Sam Altman, Ilya Sutskever, Greg Brockman, Wojciech Zaremba, and John Schulman. OpenAI’s mission is to ensure that artificial general intelligence is developed in a way that benefits all of humanity.


Whisper is a cutting-edge AI technology that excels at recognizing words from web-sourced data. Trained on 680,000+ hours of multilingual and multitask data, it can accurately recognize speech in various languages, accents, and environments, including different accents, technical language and background noise. Whisper can achieve human-level performance in many scenarios. We will provide you with Whisper API for your project. To learn more about Whisper, see the Whisper documentation.


GPT-3 is a powerful AI technology that provides the foundation for the next generation of apps. It operates by taking a text prompt such as a phrase or sentence and returning a natural language text completion. This allows developers to easily program GPT-3 by showing it a few examples, and the system will learn to generate text that is similar to the examples provided. To learn more about GPT-3, see the GPT-3 documentation.


DALL-E is an AI system that is capable of generating realistic images and art based on natural language descriptions. This technology allows to create original, high-quality images from text descriptions, making it possible to combine different concepts, attributes, and styles in a single image. With the DALL-E API, developers can now integrate this technology into their apps and products, opening up a wide range of possibilities for using AI to create custom images and artwork. To learn more about DALL-E 2, see the DALL-E 2 documentation.


OpenAI Codex is an AI technology that is based on GPT-3 and is specifically designed for programming. A large part of its training data consists of natural language and billions of lines of public code, including code from public GitHub repositories. This allows Codex to understand and generate code in a wide range of programming languages, with a particular emphasis on Python. However, Codex is also proficient in many other languages, including JavaScript, Go, Perl, PHP, Ruby, Swift, and TypeScript. To learn more about Codex, see the Codex documentation.


ChatGPT is a variant of the GPT-3 language model that is specifically designed for generating human-like text in a conversational setting. It has been trained on a large dataset of real-life conversations and can generate responses that are appropriate and relevant in context. We will show you how to use ChatGPT effectively and how it can benefit your project. To learn more about ChatGPT, see the ChatGPT documentation.

OpenAI Challenge

👉 The challenge for this hackathon is to use OpenAI Whisper, GPT-3, Codex, or DALL-E 2 to create an innovative solution to a real-world problem. Whether you're interested in using AI to improve communication, streamline workflows, or build entirely new applications, this is your chance to show off your skills and explore the potential of these advanced AI technologies.

🏆 Prizes and Awards


OpenAI Hackathon details

Join lablab and OpenAI for a week to innovate and build applications using generative AI. Find all the relevant details below.

🗓️ Where and when

The hackathon starts on February 24th and ends on March 3rd. Over the whole week, you'll have the opportunity to learn from lablab experts during workshops, keynotes, and mentoring sessions. The hackathon will take place on the platform.

🦸🏼‍♂️ Who should participate?

Previous experience in AI is not required but welcomed. While many participants are industry experts, we also welcome people with other types of domain knowledge that want to understand & explore how AI can be used in their fields.

😅 How about teams?

If you don’t have a team you will be able to match and team up with other participants around the world. Finding & creating teams can be done from the dashboard you can access after you enroll. We also recommend checking our Discord server to find teammates and discuss ideas. You can join it here

🛠️ How to participate in the hackathon

The hackathon will take place online on platform and Discord Server. Please register for both in order to participate. To participate click the "Enroll" button at the bottom of the page and read our Hackathon Guidelines.

Applications build with OpenAI

Learn about the winning projects from previous OpenAI Hackathon


InvestogAId is an AI tool that automates stock trading strategies using automated transcription from trading videos.


Moriarty is an AI application that is designed to help combat hate speech, harassment, and toxic behavior on voice communication platforms.


Butter is an AI chatbot that assists individuals who stutter by accurately transcribing live voice recordings for easier communication.

Hackathon FAQ

Who can join the Hackathon?

We welcome domain experts from all industries, not just AI or tech. Successful AI solutions require a combination of technical expertise and domain knowledge. Coding experience is recommended.

Do I need a team?

You are welcome to join as a team or solo, if solo. We encourage you to look for a team before the event. We recommend you to join the Deep Learning Labs Discord channel: and posting in the #looking-for-team channel to get to know your potential future team members.

How can I access Whisper API?

We've prepared the Whisper API especially for this hackathon. During the event Kick-Off stream, we'll share all the necessary information about how to access it.

How can I access ChatGPT API?

Currently, there is no official ChatGPT API available. We encourage you to use ChatGPT as it can be beneficial for your project, but we do not support the use of unofficial ChatGPT APIs.

Do I need a Github account?

It is recommended, that at least one team member has a Github account. You can create one for free if you don't already have one.

Do I have to use all of the listed technologies?

No, you can use as many technologies as you want. However, we encourage you to use more than one of OpenAI's produts to build your application.

I have other questions.

Feel free to reach us on social media, or through our Discord channel.

Event Schedule

  • To be announced

Teams: OpenAI Hackathon

Check out the rooster and find teams to join at OpenAI Hackathon

InnovationTeam Emsi Marrakech

InnovationTeam Emsi Marrakech

Innovation Team Emsi Marrakech a computer science team is a group of individuals who work together to solve complex problems related to computer technology. These individuals may have a variety of different backgrounds and expertise, including programming, systems analysis, database management, and cybersecurity. The work of a computer science team can vary depending on the specific goals of the team and the industry in which they operate. Some teams may focus on developing new software applications, while others may work on improving the efficiency of existing systems. Still others may be responsible for maintaining and troubleshooting computer systems or networks. Regardless of their specific focus, computer science teams rely on a variety of tools and technologies to complete their work. This may include programming languages such as Java, C++, and Python, as well as databases, operating systems, and other types of software. Effective communication and collaboration are crucial for a successful computer science team. Members must be able to work together effectively, share ideas and knowledge, and solve problems as a group. They must also be able to communicate their findings and recommendations clearly and effectively to both technical and non-technical audiences. Overall, a computer science team plays a vital role in the development and maintenance of computer systems and technology, and their contributions are essential to the smooth operation of many organizations and industries.


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