Zoha Fatima

Academic

Career

Verbatim text

WicketToWicket 

WicketToWicket is an AI empowered customized-cricket-highlights-generating and analysis 
platform. Our product aims to improve an individual player performance as well as collective 
strategies of teams, and facilitates critical decisions in the game of cricket by revolutionizing 
traditional cricket coaching and analysis methods while making them robust through Deep Learning 
techniques. Our application primarily uses YOLOV5 Deep Learning architecture to classify a 
particular frame of pitch that corresponds to the start of a bowling delivery, then labels the 
trimmed bowls with bowl by bowl commentary and match summary, and performs further analysis 
based on these results. The scope of our project is Pakistan Super League specifically its 6th edition.  
Features include: 
 Cricket Highlights on Demand  
 Player Coaching 
Team (i.e. Playing Eleven) Selector 
 
 
 
 
 
 
 
 
 
Technology Used: 
Python, Pytorch, MySQL, JavaScript, AJAX, JQuery,  
Bootstrap, PHP, Visual Studio, PyCharm, Jupyter 
Supervisor Name: 
Mr. Syed Muhammad H. Mustafa 
Group Members:   
Zoha Fatima (I18 - 0565) 
Abdullah Ansar (I18 - 0446) 
Saram Atif (I18 - 0659)