PSL 7 live score and match predictions using Machine Learning

Techs: Jupyter Notebook, Visual Studio Code, Django , Javascript
Department: Computer Science
MS Team URL: URL not found

We aimed to develop a Cricket website for Cricket fans. Our website will help users to check the live score, scorecard , schedule , news etc. related to the tournament(PSL 7). Prediction is done by analyzing the old datasets of teams.




Project Objective:

Our objective is to provide a safe and friendly environment for users. To provide related information about tournament where if users don't have time to watch the matches live so they can see live score or scorecard after the matches and latest news about the tournament.

Benefits:

Cricket is second most viewed sports in the world its growing and its play an important role in country's economy.In our project  there is prediction feature so the user who bet online can take idea from here that which team has more chance to win  so he can think to bet on that team. In legal way worth in this field is 10 billion dollars . Its and also for analytical they can take player's stats and can check  old matches record  for analytics.

Project Methodology:

Users can check the schedule  of the season 7 of PSL . He can see live score , Scorecard, match information , Latest news regarding to the tournament , stats and points table also.  User can search any random cricket player and can monitor their profile and stats, User can login and signup. User can also participate in polling but for that user have to be registered himself, if a user who is not registered click to vote he/she will be redirect to login form after that user becomes a member he can only vote once in a match and his vote will be added to total vote. Admin has his own login where he/she manages

The system fetch data from other website using API. For match predictions the system will be given input  by the user such as  name of teams , toss decision, venue . These  inputs will be passed to a trained model and out come will be shown on screen.

Project Outcome:

Users will get information related to the PSL and they don't have to go other website if they are PSL fans because our website is related to specific domain .




Project Team Members

Registration# Name Email
FA18-BSE-025 SHAHZAIB AHMAD shazaibahmed618@gmail.com
FA18-BSE-082 MUHAMMAD AHMAD HAYAT hawkineagleeye@gmail.com

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