International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 08 Issue: 05 | May 2021 www.irjet.net p-ISSN: 2395-0072 © 2021, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3384 Analysis of Construction Resource Estimation and Prediction Using AI Dr. P. P. Halkarnikar 1 , Ashish Shahane 2 , Pratik Sonawane 3 , Puskar Singh 4 1 Asso. Prof., Dept. of Computer Engineering, Dr D. Y. Patil Inst. of Eng., Mgmt. and Research, Maharashtra, India. 2-4 Dept. of Computer Engineering, Dr D. Y. Patil Inst. of Eng., Mgmt. and Research, Maharashtra, India. ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - In today’s rapidly growing technology based world, all things are getting changed very quickly in all fields and sectors like transportation, education, finance, travel, trade etc. To cope up with it, we are introducing a platform for construction and builder sector area. This platform ensures to achieve resource and assets allocation efficiently, for proper estimations and predictions. These estimations and predictions will be in the form of assets, human resources, area, material and time. For this, we are introducing AI based server platform for all types of phases of construction project development, maintenance and management. This is a cloud- based technology where user can be assigned certain access rights by higher authorities depending on the user profile to perform specific task. In this project we are using HTML5, CSS3, JS, NodeJS, MySQL, Custom Reporting, RestAPI. And custom server for deploying application on cloud. Key Words: AI, DATA MINING, BIM, MIS, PREDICTION, MANAGEMENT 1. INTRODUCTION In existing construction sites scenario, the entire assets and resource mapping, its prediction and allocation is done manually, which is less accurate and time consuming. Also the most vital thing of this scenario is the wastage of time and resources like materials and human resource if not utilized correctly. This has a huge effect on the overall company growth while impacting the finances. The construction business management system is the process of managing the construction sites within the given deadlines and budget in the form of time, cost and space. In current manual system the process is lengthy as well as time and cost consuming. So we have come up with a new idea that includes AI and ANN to design an intelligent and smart system which can manage multiple construction sites very smoothly by estimating, predicting and allocating the assets and resources within the company. 2. LITERATURE SURVEY Analysis on The Choice of Cloud and BIM in Construction Enterprises: Construction is a highly complex dynamic process. There is a complex dynamic relationship between construction process and construction period, cost, resource and site, and it has considerable uncertainty and randomness. Therefore, the construction project management should not only consider the uniqueness of the design of the building itself, but also consider the constraints such as time limit, cost, resources and site. Seeking a dynamic balance among the three management indicators of progress, cost and quality is a complicated management activity throughout the whole construction process, which has the characteristics of large amount of information, rapid information change and complex factors involved, so the potential application value of information technology in the field of construction project management is huge. At present, the most popular building information modeling(BIM) aims to build a building information model including all kinds of engineering information of the project based on the three-dimensional digital technology, to realize the information mutual use and comprehensive sharing of all stages and multiple participants in the whole life of the building. 3. SYSTEM DESIGN We are going to provide user interface to each and stack holder at construction site. Using this UI every stack holder will update the information about site like material and resources on cloud. Using this data we will create data set and will apply our smart algorithms and programs on this dataset to prediction and allocation system. Each and every registered user will have access to own profile to CRUD the dataset on cloud. This system is accessible from different devices like desktop, mobile and wearable. Data collection is done at backend once data is collected our program will create dataset asper user query also our system auto generate the reports and states to analyze the results and predict the session.