Date To Be Announced

AI is Data

Train, fine-tune & build using Web Shield's Advanced Data Protection and Compliance Technologies.


πŸ•’ 24 hours to complete the challenge.


πŸ’‘ Implement any idea that uses Codestral at its core.


🀝 Take part alone or form a team with other participants.


πŸ† Win an opportunity to participate in LabLab NEXT acceleration program

AI is Data event thumbnail

About Web Shield

Unleash the Potential of Web Shield

Innovative Data Protection and Compliance Solutions with Web Shield


πŸ›‘οΈ Comprehensive Fraud Prevention:

Web Shield provides advanced due diligence solutions, safeguarding businesses from fraud by verifying identities and ensuring regulatory compliance.
πŸ•’ Efficient and Reliable:

Utilizes state-of-the-art machine learning techniques to create and fine-tune predictive models, ensuring rapid and accurate data processing.
🌍 Multilingual Expertise:

Supports numerous programming and scripting languages, enabling diverse and thorough data analysis.
⚑ High Performance:

Excels in data set analysis and the development of sophisticated AI/ML applications.

Implements Retrieval-Augmented Generation (RAG) techniques to enhance data security and compliance.

Ideal for businesses seeking robust fraud prevention and compliance solutions.

Hackathon Challenge


Challenge:


The challenge is to harness compliant data to create innovative AI models, applications, and frameworks. Participants are encouraged to:


β€’ Build predictive models.


β€’ Fine-tune existing AI models.


β€’ Use models in data set analysis.


β€’ Develop advanced AI/ML applications.


β€’ Implement Retrieval-Augmented Generation (RAG) techniques.



All these tasks must be accomplished while ensuring compliance and security. This event encourages you to push the boundaries of data science and machine learning by leveraging unique datasets.



Disclaimer: Please note that we do not offer access to any technology, so participants should use publicly available tools and resources.

Technology

TBA

Prizes

πŸ† A fast-track to your interview for the Lablab NEXT acceleration program.




Please be aware that participation in lablab.ai hackathons is voluntary and subject to the specific rules and conditions outlined for each event. While we strive to provide a fair and rewarding experience for all participants, we cannot guarantee entry or success in securing prizes. All prizes and opportunities are subject to availability and participants must meet the established criteria to qualify. lablab.ai is not responsible nor held liable for any commitments or offers - including programs, giveaways, or prizes - made by third-party sponsors or partners of the hackathon. The availability and delivery of third-party prizes or benefits are solely at the discretion of the respective sponsors and are not guaranteed by lablab.ai. We reserve the right to make amendments, modifications, or cancellations to any part of the hackathon (including full cancellation of the event itself), including prizes and terms of participation, at our sole discretion. Whenever possible, we will endeavor to notify participants of significant changes within a reasonable timeframe. All submissions by participants must be original work, open source, and compliant with the MIT License unless specified otherwise. By participating, you agree to these terms, the overall event terms, and the lablab.ai general terms and are encouraged to review all event-related information carefully. Prize Distribution: lablab.ai and its partners reserve the right to distribute all prizes within a 90-day period following the end date of the hackathon. This period allows for the proper processing and verification needed to award prizes appropriately.
Judging Criteria
Application of Technology
How effectively the chosen model(s) are integrated into the solution.
Presentation
The clarity and effectiveness of the project presentation.
Business Value
The potential impact and practical value of the solution.
Originality
Uniqueness and creativity in addressing the challenge.

Hackathon Details

Join lablab.ai hackathon and innovate using the latest models in the market. Discover all the relevant details below.

πŸ—“οΈ Where and when

The start date of the hackathon is mentioned according to the date specified on the hackathon page, cover and schedule. The hackathon will take place on the lablab.ai platform and lablab.ai Discord server.

πŸ¦ΈπŸΌβ€β™‚οΈ Who can join?

Everyone is welcome to participate, regardless of previous AI or coding experience! We encourage anyone with a passion for AI or an interest in exploring how it can be used in their field to join.

πŸ˜… What about teams?

If you don't have a team, don't worry! You can connect with other participants from all over the world on our dashboard or Discord server. We also recommend checking out our Discord server to find teammates and bounce around ideas. You can join the server here.

πŸ› οΈ How to participate

The hackathon will take place online on lablab.ai platform and lablab.ai 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 and Getting Started Guide.

🧠 Get prepared / Use Lablab.ai to Learn About AI

To get ready for the hackathon, visit our AI Tech pages and read up on all the available technologies. You can also check out our tutorials page for more information on how to use them. Get a head start on your project by using the resources on lablab.ai!

Event Schedule

  • To be announced
Enrolled

0