Optimizing Construction Efficiency: Predicting Labour Productivity with Statistical Model

Описание: Welcome to our innovative solution for enhancing construction productivity! In this video, we showcase our cutting-edge website developed by TEAM CASE-OPSO for the CREATECH'24 competition, organized by Larsen & Toubro. Our platform utilizes a powerful statistical model based on Lasso Regression to predict labour productivity for key construction activities like brickwork, formwork, reinforcement, concreting, and more.

With a seamless user interface built using React for frontend and Flask for backend, our website allows users to input relevant parameters and receive accurate predictions tailored to their specific needs. Whether you're a project manager, contractor, or construction professional, our platform empowers you to make data-driven decisions and optimize resource allocation.

Join us as we demonstrate the versatility and efficacy of our solution, featuring dynamic charts for comprehensive data analysis. Discover how our predictive model can revolutionize construction practices, improve project efficiency, and drive success in the industry.

Don't miss out on this transformative tool for construction optimization. Watch our video now and unlock the potential of predictive labour productivity analysis!

Meet the Team:

Akshay Jain
Ashutosh Kumar Gupta
Sai Ratna Sohith S