LEAP 2024 Hackathon 

Registration opens

Opening remarks by NewNative, discussing Lablab's mission and vision

NewNative - Brief Introduction to the Hackathon, Challenge, lablab.ai platform, and Discord server.

NewNative. Participants are encouraged to begin working on their projects.

Official Hackathon Kick-off - NewNative

It is a perfect time to connect with potential team members and energize with coffee.

1st Matchmaking Coffee session begins

Emmanuel Iriarte - Building your AI application in rapid prototyping

Workshop

2nd Matchmaking Coffee session begin

Participants resume working on their projects.

Harry Berg

How to launch your career in Ai & Data at supersonic speed.


How to Architect and deliver production-grade, high-speed computation and artificial intelligence software for real-time analytics

Workshop - Anton Alexander

Hacking Commences.

AI personalization in social media and marketing

Ash Barbour 

Workshop -  Jens Ingelsted - How to Pitch 

Hacking Commences

Lossless Data Compression based on new math theory & algorithm

Workshop - Claus Rosenberg Gotthard 

How AI is changing the way we build and operate software


Pawel Czech

End of submissions. Judging commences, and finalists are selected.

End of Closing Ceremony

Winner announcements at the main stage

Platform for analyze the performance of individual player and scouting talents using Ai

AEye

This project is an advanced platform that utilizes artificial intelligence to analyze football. The main goal of the platform consists of three main parts:

Performance Analysis: The platform gathers data and statistics about players' performance in live matches. This is done using artificial intelligence techniques to analyze players' movements and estimate their positions on the field. This data is analyzed to identify each player's strengths and weaknesses, and how they can improve their performance.

Talent Discovery: The platform uses artificial intelligence to discover young talents in football. Machine learning techniques are used to analyze players' performance in matches and training sessions, searching for performance patterns similar to professional players.

Therefore, this project uses technology to make football more understandable and accessible, helping improve players' performance, uncover young talents, and make knowledge available to as many fans as possible.
The main goal of this project is to use artificial intelligence for our understanding and analysis of football. By specifically analyzing the players' weight boxing statistics, lightweight boxing, strong and lightweight boxing for all players, they can improve them.
In addition, the project aims to use artificial intelligence to transform young talents in football. This can help provide greater opportunities for talented young people who may be overlooked by the traditional screening system.
Overall, the project aims to use technology to improve how feet are analyzed and understood, and to enable this knowledge to be accessible to as many people as possible




The project utilizes AI to analyze football players' statistics, focusing on weight boxing, to enhance performance. It also aims to identify and nurture young talents often overlooked by traditional methods, democratizing access to football analysis. 

"AEye team on LEAP 2024 Hackathon Hackathon"

Team Idea

Submission