World needs Talents

Streamlit
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Created by team Amir on أغسطس 11, 2023

Scouting New Talents in Football Based on Stats Football is a global sport with a huge fan base. Every year, millions of young athletes dream of playing professional football. However, only a small percentage of these athletes will ever make it to the pros One of the biggest challenges for young athletes is getting noticed by scouts. Scouts are constantly looking for new talent, but they can only watch so many games. This means that many talented athletes are overlooked. Our project uses data science to identify and scout new talents in football. We collect data on a player's stats, such as passing accuracy, rushing yards, and tackles. We then use this data to create a player profile that identifies their strengths and weaknesses We also use this data to predict a player's potential value to a team. Our project has the potential to revolutionize the way that football is scouted. By using data science, we can identify new talents that would have otherwise been overlooked. This could lead to more competitive and exciting football leagues, and give more athletes the opportunity to reach their full potential. Business model: To sell our data to clubs that want to know the strength and weaknesses for each player in Thier team And the clubs in higher league that want to find talents that performs like a professional one without costing them much money And the clubs in a lower leagues that wants to market their players and their talents to the other clubs and league Finally the individual players that has no team that want to market his talent to the world and make it seen Our customers Clubs , coaches, academy , players

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TaizAi

CohereVercelEasyOCRStable Diffusion

"Amazing idea. This really has the potential to be an industry level product if you can develop it well enough and its a lucrative aspect of football as I'm a football enthusiast myself. The working demo and the code behind it looks spot on as well. A little more business analytics would have been great too. But I love the product so far!"

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Shebagi Mitra

Student