InjuryPredictionML
Predict Sports Injuries with Machine Learning – A 6th Semester Project by UIET PU Students
Enter player details to predict injury likelihood and recovery time using our advanced ML model.
About InjuryPredictionML
InjuryPredictionML is a machine learning project developed by 3rd-year IT students at UIET PU. The model predicts the likelihood of sports injuries and recovery time based on inputs like age, weight, height, previous injuries, and training intensity. Built with Python, Scikit-learn, and Flask, this 6th-semester project showcases our passion for coding and sports analytics.
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Meet the Team
Developed by 3rd-year IT students at UIET PU, passionate about coding, machine learning, and sports analytics. This is our 6th-semester project.
Aarish Garg
ML Model Developer
Developed the machine learning model, focusing on data preprocessing and model training.
3rd-year IT student at UIET PU with a passion for machine learning and software development.
Lakhan Vashney
Feature Engineer
Contributed to model development and feature engineering.
3rd-year IT student at UIET PU with a passion for machine learning and software development.
John
Full-Stack Developer
Fixed bugs, built the website and mobile app, and handled frontend-backend integration.
3rd-year IT student at UIET PU with a passion for machine learning and software development.
Ankush
DevOps Engineer
Deployed the model on Render for scalable API access.
3rd-year IT student at UIET PU with a passion for machine learning and software development.