The present subject matter described herein, in general, relates to a construction
project management system.
BACKGROUND
[003] In general, project management refers to planning, organization, and resource
management to get the desired goals. In the construction industry, the customerdeveloper can be involved in medium and large projects. Usually, a construction project
requires a large team of workers, engineers, architects, and builders. The biggest
challenge in the construction project is collaboration and communication between
different departments. For example, during the construction project, the architect or the
engineer will make a set of plans for a project which are then passed on to the builder
who builds the construction project. Often, the builder will have to make on-the-spot
modifications to these plans. However, these modifications often require reporting and
revision of existing plans which leads to miscommunications between the departments.
Further, the construction project also involves an enormous amount of data entry. Many
project management software has been developed for utilization of the data for
managing the construction project. But there is still a need for an improved system for
managing construction projects.
SUMMARY
[004] Before the present system(s) and method(s), are described, it is to be understood
that this application is not limited to the particular system(s), and methodologies
described, as there can be multiple possible embodiments which are not expressly
illustrated in the present disclosures. It is also to be understood that the terminology
3
used in the description is for the purpose of describing the particular implementations
or versions or embodiments only and is not intended to limit the scope of the present
application. This summary is provided to introduce aspects related to a system and a
method for recommending an optimal strategy related to an infrastructure construction
project. This summary is not intended to identify essential features of the claimed
subject matter nor is it intended for use in determining or limiting the scope of the
claimed subject matter.
[005] In one implementation, a method for recommending an optimal strategy related
to an infrastructure construction project is disclosed. Initially, a project file associated
with an infrastructure construction project may be received. The project file may
comprise at least one of a current status of a construction department associated with
the user, a daily project report of the user, an architectural plan, legal documents, and
project documents. Further, historic project data related to the project file may be
identified. The project file may be compared with the historic project data. The
comparison may be performed based on Neural Networks, Machine Learning (ML)
and Artificial Intelligence (AI) technique. Subsequently, the project file may be
updated based upon the comparison to create an updated project file. Further, parts of
the updated project file may be disseminated to one or more stakeholders based upon
a status of construction parameters including material, manpower, and machine.
Subsequently, inputs from the one or more stakeholders may be received on the parts
of the updated project file. Finally, an optimal strategy may be recommended related
to the infrastructure construction project based upon at least one of the updated project
file and the inputs from the one or more stakeholders. The recommendation may be
based on Machine Learning (ML), Artificial Intelligence (AI) technique, and Natural
Language Processing (NLP) technique. In one aspect, the aforementioned method for
recommending an optimal strategy related to a construction project may be performed
by a processor using programmed instructions stored in a memory.
4
[006] In another implementation, a non-transitory computer readable medium
embodying a program executable in a computing device for recommending an optimal
strategy related to an infrastructure construction project is disclosed. The program may
comprise a program code for receiving a project file associated with an infrastructure
construction project. The project file comprises at least one of a current status of a
construction department associated with the user, a daily project report of the user, an
architectural plan, legal documents, and project documents. The program may
comprise a program code for identifying historic project data related to the project file.
Subsequently, the program may comprise a program code for comparing the project
file with the historic project data. The comparison is performed based on Neural
Networks, Machine Learning (ML) and Artificial Intelligence (AI) technique. The
program may comprise a program code for updating the project file based upon the
comparison to create an updated project file. The program may comprise a program
code for disseminating parts of the updated project file to one or more stakeholders
based upon a status of construction parameters including material, manpower, and
machine. Further, the program may comprise a program code for receiving inputs from
the one or more stakeholders on the parts of the updated project file. Finally, the
program may comprise a program code for recommending an optimal strategy related
to the infrastructure construction project based upon at least one of the updated project
file and the inputs from the one or more stakeholders. The recommendation is based
on Machine Learning (ML), Artificial Intelligence (AI) technique, and Natural
Language Processing (NLP) technique.
BRIEF DESCRIPTION OF THE DRAWINGS
[007] The foregoing detailed description of embodiments is better understood when
read in conjunction with the appended drawings. For the purpose of illustrating of the
present subject matter, an example of a construction of the present subject matter is
provided as figures, however, the invention is not limited to the specific method and
5
system for recommending an optimal strategy related to an infrastructure construction
project disclosed in the document and the figures.
[008] The present subject matter is described in detail with reference to the
accompanying figures. In the figures, the left-most digit(s) of a reference number
identifies the figure in which the reference number first appears. The same numbers
are used throughout the drawings to refer to various features of the present subject
matter.
[009] Figure 1 illustrates a network implementation for recommending an optimal
strategy related to an infrastructure construction project, in accordance with an
embodiment of the present subject matter.
[010] Figure 2 illustrates a method for recommending an optimal strategy related to
an infrastructure construction project, in accordance with an embodiment of the present
subject matter.
[011] The figure depicts an embodiment of the present disclosure for purposes of
illustration only. One skilled in the art will readily recognize from the following
discussion that alternative embodiments of the structures and methods illustrated herein
may be employed without departing from the principles of the disclosure described
herein.
DETAILED DESCRIPTION
[012] Some embodiments of this disclosure, illustrating all its features, will now be
discussed in detail. The words "receiving," "identifying," "comparing," "updating,"
"disseminating," "recommending," and other forms thereof, are intended to be open
ended in that an item or items following any one of these words is not meant to be an
exhaustive listing of such item or items or meant to be limited to only the listed item
or items. It must also be noted that as used herein and in the appended claims, the
singular forms "a," "an," and "the" include plural references unless the context clearly
dictates otherwise. Although any system and methods similar or equivalent to those
6
described herein can be used in the practice or testing of embodiments of the present
disclosure, the exemplary, system and methods are now described.
[013] The disclosed embodiments are merely examples of the disclosure, which may
be embodied in various forms. Various modifications to the embodiment will be readily
apparent to those skilled in the art and the generic principles herein may be applied to
other embodiments. However, one of ordinary skill in the art will readily recognize that
the present disclosure is not intended to be limited to the embodiments described but is
to be accorded the widest scope consistent with the principles and features described
herein.
[014] The present subject matter discloses a method and a system for recommending
an optimal strategy related to an infrastructure construction project. Initially, the system
may receive the project file from one or more user. It may be noted that the project file
may comprise data related to the infrastructure construction project. In an example, the
user may also upload a current status of a construction department associated with the
user, a daily project report of the user, an architectural plan, legal documents, and
project documents to the system. Further, the system may identify historic project data
related to the project file. It may be noted that the historic project data comprises past
construction project data, a construction material, a budget, manpower, a time period
required for completion of the construction project, metadata, a plurality of information
related to a resource plan, and historical data of construction sites. It may be noted that
the goal is to identify project data relevant to the project file uploaded by the user.
Further, the system compares the project file with the historic project data. In an
example, the system may compare the current status of the construction project with
the historic project data. The system also updates the project file based upon the
comparison to create an updated project file.
[015] In an embodiment, the system may also disseminate parts of the updated project
file to one or more stakeholders. The one or more stakeholders may be at least one of
customers, governments, communities, suppliers, vendors, investors, and alike. The
one or more stakeholders may provide inputs on the parts of the updated project file.
7
Finally, the system may recommend an optimal strategy related to the infrastructure
construction project based upon at least one of the updated project file and the inputs
from the one or more stakeholders. It may be noted that the optimal strategy is
recommended in real-time. Further, the recommendation is displayed by the system. In
an embodiment, the system also provides graphs, tables for a better understanding of
the recommendation. In another embodiment, the system also generates a document
related to the optimal strategy related to the construction project.
[016] Referring now to Figure 1, a network implementation 100 of a system 102 for
recommending an optimal strategy related to an infrastructure construction project is
disclosed. Initially, the system 102 receives a project file. In an example, the software
may be installed on a user device 104-1. It may be noted that the one or more users
may access the system 102 through one or more user devices 104-2, 104-3…104-N,
collectively referred to as user devices 104, hereinafter, or applications residing on the
user devices 104. The system 102 receives the project file from one or more user
devices 104. Further, the system may also 102 receive a feedback from a user using the
user devices 104.
[017] Although the present disclosure is explained considering that the system 102 is
implemented on a server, it may be understood that the system 102 may be
implemented in a variety of computing systems, such as a laptop computer, a desktop
computer, a notebook, a workstation, a virtual environment, a mainframe computer, a
server, a network server, a cloud-based computing environment. It will be understood
that the system 102 may be accessed by multiple users through one or more user
devices 104-1, 104-2…104-N. In one implementation, the system 102 may comprise
the cloud-based computing environment in which the user may operate individual
computing systems configured to execute remotely located applications. Examples of
the user devices 104 may include, but are not limited to, a portable computer, a personal
digital assistant, a handheld device, and a workstation. The user devices 104 are
communicatively coupled to the system 102 through a network 106.
8
[018] In one implementation, the network 106 may be a wireless network, a wired
network, or a combination thereof. The network 106 can be implemented as one of the
different types of networks, such as intranet, local area network (LAN), wide area
network (WAN), the internet, and the like. The network 106 may either be a dedicated
network or a shared network. The shared network represents an association of the
different types of networks that use a variety of protocols, for example, Hypertext
Transfer Protocol (HTTP), Transmission Control Protocol/Internet Protocol (TCP/IP),
Wireless Application Protocol (WAP), and the like, to communicate with one another.
Further the network 106 may include a variety of network devices, including routers,
bridges, servers, computing devices, storage devices, and the like.
[019] In one embodiment, the system 102 may include at least one processor 108, an
input/output (I/O) interface 110, and a memory 112. The at least one processor 108
may be implemented as one or more microprocessors, microcomputers,
microcontrollers, digital signal processors, Central Processing Units (CPUs), state
machines, logic circuitries, and/or any devices that manipulate signals based on
operational instructions. Among other capabilities, the at least one processor 108 is
configured to fetch and execute computer-readable instructions stored in the memory
112.
[020] The I/O interface 110 may include a variety of software and hardware
interfaces, for example, a web interface, a graphical user interface, and the like. The
I/O interface 110 may allow the system 102 to interact with the user directly or through
the client devices 104. Further, the I/O interface 110 may enable the system 102 to
communicate with other computing devices, such as web servers and external data
servers (not shown). The I/O interface 110 can facilitate multiple communications
within a wide variety of networks and protocol types, including wired networks, for
example, LAN, cable, etc., and wireless networks, such as WLAN, cellular, or satellite.
The I/O interface 110 may include one or more ports for connecting a number of
devices to one another or to another server.
9
[021] The memory 112 may include any computer-readable medium or computer
program product known in the art including, for example, volatile memory, such as
static random access memory (SRAM) and dynamic random access memory (DRAM),
and/or non-volatile memory, such as read only memory (ROM), erasable
programmable ROM, flash memories, hard disks, Solid State Disks (SSD), optical
disks, and magnetic tapes. The memory 112 may include routines, programs, objects,
components, data structures, etc., which perform particular tasks or implement
particular abstract data types. The memory 112 may include programs or coded
instructions that supplement applications and functions of the system 102. In one
embodiment, the memory 112, amongst other things, serves as a repository for storing
data processed, received, and generated by one or more of the programs or the coded
instructions.
[022] As there are various challenges observed in the existing art, the challenges
necessitate the need to build the system 102 for recommending an optimal strategy
related to an infrastructure construction project. At first, a user may use the user device
104 to access the system 102 via the I/O interface 110. The user may register the user
devices 104 using the I/O interface 110 in order to use the system 102. In one aspect,
the user may access the I/O interface 110 of the system 102. The detail functioning of
the system 102 is described below with the help of figures.
[023] The present subject matter describes the system 102 for recommending an
optimal strategy related to an infrastructure construction project. The system 102 may
receive a project file associated with an infrastructure construction project. The project
file may comprise at least one of a current status of a construction department
associated with a user, a daily project report of the user, an architectural plan, legal
documents, and project documents. Consider an example of a construction site, the
system 102 may receive the project file from workers working at the construction site.
In the example, the system 102 may also receive weekly project file from a manager of
the construction site. Further, the system 102 may receive a daily project report from
10
the workers. In the example, the system 102 may receive the project file from the
construction departments involved at the construction site. The construction
departments may comprise but not limited to a Project Engineering Department, a
Project Control Department, a Construction Department, an Inventory Control
Management, a Project Administration Department, a Human Resource (HR)
Department, a Finance Department, and alike. In an embodiment, the system 102 may
automatically fetch the project file from a device.
[024] Further to receiving the project file, the system 102 may identify historic project
data related to the project file in real-time. The historic project data may be prestored
in a memory 112. The historic project data may comprise data related to past
construction project, construction material, budget, manpower, time period required for
completion of the infrastructure construction project, metadata, and a plurality of
information related to a resource plan. The metadata may be prestored data related to
interests of stakeholders. In an example, a supplier (stakeholder) may be interested in
quantity of materials available at a construction site, whereas an investor (stakeholder)
may be interested in financial data. In an embodiment, the system 102 may utilize
Application Programming Interfaces (APIs) for identifying the historic data related to
the infrastructure construction project from software applications. Consider an
example, the system 102 receives the project file comprising an architectural plan.
Further, the system 102 identifies historic project data related to the architectural plan
in real-time.
[025] After identifying historic project data, the system 102 may compare the project
file with the historic project data. It may be noted that the comparison is performed
based on Neural Networks, Machine Learning (ML) and Artificial Intelligence (AI)
technique. Considering the above example, the system 102 may compare the historic
project data project with the architectural plan (the project file).
11
[026] Further to comparing, the project file may be updated based upon the
comparison to create an updated project file. In an example, the system 102 may update
the project file based upon the historic project data. In the above example, the system
updates the project file based on the architectural plan.
[027] Further to updating, the system 102 may disseminate parts of the updated
project file to one or more stakeholders based upon status of construction parameters
including material, manpower, and machine. The one or more stakeholder may be
customers, governments, communities, suppliers, construction departments, vendors,
investors, and alike. It may be noted that the system 102 may automatically disseminate
the updated project file. Further, the stakeholders may receive appropriate parts of the
updated project file after dissemination. The updated project file may be disseminated
into parts to reduce the time required to review the complete updated project file.
Consider an example of a construction project, the customer may receive a part of the
updated project file in which the customer is interested. Further, the suppliers may
receive the part of the updated project file related to inventory present at a construction
site. Further, the investors may receive financial data related to the construction project.
It may be noted that system automatically determines and extracts relevant data to the
one or more stakeholders from the updated project file. In an embodiment, the system
may disseminate part of the updated project file based on the metadata. The
dissemination may be performed using a combination of Machine Learning
Algorithms.
[028] Consider an example, the system 102 may disseminate parts of the updated
project file only to a supplier (stakeholder). In the example, the system 102 may
disseminate parts of the updated project file based upon the requirement of the machine.
[029] Further to disseminating, the system 102 may receive inputs from the one or
more stakeholders on the parts of the updated project file. In an embodiment, the one
or more stakeholders may provide input on the parts of the updated project file. The
12
one or more stakeholders may modify the part of the updated project file by adding or
deleting data present in the part of the updated project file. In an example, the supplier
(stakeholder) may modify the quantity of the materials.
[030] Further to receiving the inputs, the system 102 may recommend an optimal
strategy related to the infrastructure construction project. The optimal strategy may be
recommended based upon at least one of the updated project file and the inputs from
the one or more stakeholders. Further, the recommendation may be based on Machine
Learning (ML), Artificial Intelligence (AI) technique, and Natural Language
Processing (NLP). In an embodiment, the system 102 may recommend the optimal
strategy by using the Supervised Learning Technique on the project file. In an
embodiment, the system 102 may provide the optimal strategy related to manpower, a
plant, machinery, a material, and cash flows. It may be noted that the system 102
provides predictive analytics for a post event action.
[031] In another embodiment, the system 102 may provide real-time forecast, status,
reservation, and visualization of materials through integration with client third party
solutions or internal management systems. In an example, the system 102 may display
an insightful graph of the optimal strategy.
[032] Consider an example, the system 102 receives the project file comprising the
current status of the construction project. Further, the system 102 identifies the historic
project data related to the project file in real-time. Subsequently, the system 102
compares the project file with the historic project data. Further, the system 102 updates
the project file based upon the comparison to create an updated project file. Further,
the system 102 disseminates part of the project file to one or more stakeholders. The
stakeholders may be a customer, an investor, and a supplier. Further, the system 102
receives input from the one or more stakeholders. The supplier may modify the part of
the updated project file. Finally, the system 102 recommends an optimal strategy
related to the infrastructure construction project. In the example, the optimal strategy
13
may include recommendations on buying or renting a machine to be used in the
construction project. Further, the system may also generate a document related to the
optimal strategy. The document may comprise details regarding the optimal strategy.
In the example, the document may describe why there is a need to buy the machinery
and not to rent it. It may be noted that the system 102 generates the document based on
the Natural Language Processing Techniques.
[033] In an example, the system 102 may be used for quality control. The construction
sites are usually huge. Generally, a user uses a drone for collecting images of the
construction sites. Further, the system 102 receives the images collected by the drone
as a project file. Furthermore, the system identifies the historic project data related to
the project file. Subsequently, the system 102 may compare the images collected from
the drone with the historic project data. The system 102 may use Neural Networks to
assess drone collected images to compare various construction inconsistencies against
existing models (the historic project data). Further, the system 102 updates the project
file based on the comparison. Further, the system 102 disseminates the part of the
updated project file to one or more stakeholders. Further, the system 102 may receive
inputs from the one or more stakeholders. Finally, the system recommends the optimal
strategy related to the construction project. The optimal strategy may be related to any
issues or potential threats to a building. In an example, the manager or the stakeholders
may spot any issues or potential threats to a building saving cost and time.
[034] In an embodiment, the system 102 may also recommend the optimal strategy
after comparing the project file with the historic project data. Consider an example, the
system 102 receives the project file. It may be noted that the project file comprises the
current status of the construction project and a projected timeline for the construction
project. Assuming the projected timeline is 31st December 2020. It may be noted that
the system 102 receives the current status on the 1st December 2020. Further, the system
102 identifies the historic project data related to the project file in real-time.
14
Subsequently, the system 102 compares the project file with the historic project data.
Finally, the system 102 recommends the optimal strategy to hire more workers for the
construction project. In an embodiment, the system also recommends the number of
workers required for the construction project.
[035] Consider another example, the system 102 receives the current status of the
construction project comprising a list of available items in the inventory (cement,
bricks, metal, and the like). Further, the system 102 identifies that there will be a need
for more cement in the future. The system 102 further checks the current price of the
cement on the internet. In an embodiment, the system 102 also reviews the news which
may impact the price of the cement in the future. Further, the system 102 recommends
the optimal strategy for buying the cement at the best price.
[036] Referring now to figure 2, a method 200 for recommending an optimal strategy
related to an infrastructure construction project is shown, in accordance with an
embodiment of the present subject matter. The method 200 may be described in the
general context of computer executable instructions. Generally, computer executable
instructions can include routines, programs, objects, components, data structures,
procedures, modules, functions, etc., that perform particular functions or implement
particular abstract data types.
[037] The order in which the method 200 is described is not intended to be construed
as a limitation, and any number of the described method blocks can be combined in
any order to implement the method 200 or alternate methods for recommending an
optimal strategy related to an infrastructure construction project. Additionally,
individual blocks may be deleted from the method 200 without departing from the
scope of the subject matter described herein. Furthermore, the method 200 for
recommending an optimal strategy related to an infrastructure construction project can
be implemented in any suitable hardware, software, firmware, or combination thereof.
15
However, for ease of explanation, in the embodiments described below, the method
200 may be considered to be implemented in the above-described system 102.
[038] At block 202, a project file associated with an infrastructure construction
project may be received. The project file may comprise at least one of a current status
of a construction department associated with a user, a daily project report of the user,
an architectural plan, legal documents, and project documents.
[039] At block 204, historic project data related to the project file may be identified.
The historic project data may comprise past construction project data, a construction
material, a budget, a manpower, a time period required for completion of the
construction project, metadata, a plurality of information related to a resource plan, and
historical data of construction sites.
[040] At block 206, the project file may be compared with the historic project data. It
may be noted that the comparison is performed based on Neural Networks, Machine
Learning (ML) and Artificial Intelligence (AI) technique.
[041] At block 208, the project file may be updated based upon the comparison to
create an updated project file.
[042] At block 210, parts of the updated project file may be disseminated to one or
more stakeholders based upon a status of construction parameters including material,
manpower, and machine.
[043] At block 212, inputs from the one or more stakeholders may be received on the
parts of the updated project file.
[044] At block 214, an optimal strategy related to the infrastructure construction
project may be recommended. The optimal strategy may be recommended based on at
least one of the updated project file and the inputs from the one or more stakeholders.
16
It may be noted that the recommendation is based on Machine Learning (ML),
Artificial Intelligence (AI) technique, and Natural Language Processing (NLP).
[045] Exemplary embodiments discussed above may provide certain advantages.
Though not required to practice aspects of the disclosure, these advantages may include
those provided by the following features.
[046] Some embodiments of the system and the method assist in managing the
infrastructure construction project efficiently.
[047] Some embodiments of the system and the method may be used for collaboration
between different departments of the infrastructure construction project.
[048] Some embodiments of the system and the method may be used for effective
communications between different departments of the infrastructure construction
project.
[049] Some embodiments of the system and the method provide insights for analysing
the progress of the infrastructure construction project.
[050] Some embodiments of the system and the method recommends the optimal
strategy related to the infrastructure construction project in real-time.
[051] Some embodiments of the system and the method provides predictive analytics
for post event action.
[052] Some embodiments of the method and the system recommends the optimal
strategy based on the comparison of the project file and the historic project data.
[053] Although implementations for methods and system for recommending an
optimal strategy related to an infrastructure construction project have been described
in language specific to structural features and/or methods, it is to be understood that
17
the appended claims are not necessarily limited to the specific features or methods
described. Rather, the specific features and methods are disclosed as examples of
implementations for recommending an optimal strategy related to an infrastructure
construction project.

I/ We Claim:
1. A method for recommending an optimal strategy related to an infrastructure
construction project, the method comprising:
receiving, by a processor, a project file associated with an infrastructure
construction project, wherein the project file comprises at least one of a current status
of a construction department associated with a user, a daily project report of the user,
an architectural plan, legal documents, and project documents;
identifying, by the processor, historic project data related to the project file;
comparing, by the processor, the project file with the historic project data,
wherein the comparison is performed based on Neural Networks, Machine Learning
(ML) and Artificial Intelligence (AI) technique; and
updating, by the processor, the project file based upon the comparison to create
an updated project file;
disseminating, by the processor, parts of the updated project file to one or more
stakeholders based upon a status of construction parameters including material,
manpower, and machine;
receiving, by the processor, inputs from the one or more stakeholders on the
parts of the updated project file;
recommending, by the processor, an optimal strategy related to the
infrastructure construction project based upon at least one of the updated project file
and the inputs from the one or more stakeholders, wherein the recommendation is based
on Machine Learning (ML), Artificial Intelligence (AI) technique, and Natural
Language Processing (NLP) technique.
2. The method as claimed in claim 1, wherein the project documents comprise
drawings, and documents related to plumbing, architectural, interior, electrical,
Heating, ventilation, and air conditioning (HVAC), structural, security surveillance,
Information Technology (IT), and similar details.
19
3. The method as claimed in claim 1, wherein the daily project report comprises
information related to the machine, manpower, and material.
4. The method as claimed in claim 1, wherein the historic project data comprises
past construction project data, a construction material, a budget, manpower, a time
period required for completion of the construction project, metadata, a plurality of
information related to a resource plan, and historical data of construction sites.
5. The method as claimed in claim 1, wherein the optimal strategy is recommend
based on a Supervised Learning being implemented on the project file.
6. The method as claimed in claim 1, further comprises providing the optimal
strategy related to a manpower, a machinery, a material, and cash flows.
7. The method as claimed in claim 1, further comprises providing real-time
forecast, status, reservation, and visualization of materials through integration with
client third party solutions or internal management systems.
8. The method as claimed in claim 1, wherein the optimal strategy includes
recommendations on buying or renting a machine to be used in the construction project.
9. The method as claimed in claim 1, further comprises generating a document
related to the optimal strategy, wherein the document is generated using the NLP
technique.
10. The method as claimed in claim 2, further comprises utilizing Application
Programming Interfaces (APIs) for importing data related to the construction project
from software applications, wherein the data include architectural plans and the
plurality of information related to the resource plan.
11. A system for recommending an optimal strategy related to an infrastructure
construction project, the system comprising:
a memory; and
a processor coupled to the memory, wherein the processor is configured for:
receiving a project file associated with an infrastructure construction project,
wherein the project file comprises at least one of a current status of a construction
20
department associated with a user, a daily project report of the user, an architectural
plan, legal documents, and project documents;
identifying historic project data related to the project file;
comparing the project file with the historic project data, wherein the
comparison is performed based on Neural Networks, Machine Learning (ML) and
Artificial Intelligence (AI) technique; and
updating the project file based upon the comparison to create an updated project
file;
disseminating parts of the updated project file to one or more stakeholders
based upon a status of construction parameters including material, manpower, and
machine;
receiving inputs from the one or more stakeholders on the parts of the updated
project file;
recommending an optimal strategy related to the infrastructure construction
project based upon at least one of the updated project file and the inputs from the one
or more stakeholders, wherein the recommendation is based on Machine Learning
(ML), Artificial Intelligence (AI) technique, and Natural Language Processing (NLP)
technique.
12. A non-transitory computer program product having embodied thereon a
computer program for recommending an optimal strategy related to an infrastructure
construction project, the computer program product storing instructions, the
instructions comprising instructions for:
receiving a project file associated with an infrastructure construction project,
wherein the project file comprises at least one of a current status of a construction
department associated with a user, a daily project report of the user, an architectural
plan, legal documents, and project documents;
identifying historic project data related to the project file;
21
comparing the project file with the historic project data, wherein the
comparison is performed based on Neural Networks, Machine Learning (ML) and
Artificial Intelligence (AI) technique; and
updating the project file based upon the comparison to create an updated project
file;
disseminating parts of the updated project file to one or more stakeholders
based upon a status of construction parameters including material, manpower, and
machine;
receiving inputs from the one or more stakeholders on the parts of the updated
project file;
recommending an optimal strategy related to the infrastructure construction
project based upon at least one of the updated project file and the inputs from the one
or more stakeholders, wherein the recommendation is based on Machine Learning
(ML), Artificial Intelligence (AI) technique, and Natural Language Processing (NLP)
technique.