Automated Mess Service Based on User's Location

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 09 | Sep -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1433
Automated mess service based on user's location
Jovin Kurichial1, Shubham Shitole2, Aditya Dasturkar3, Vaibhav Dang4, Priyanka Kedar5
1,2,3,4 Department of Computer Engineering
Dhole Patil College of Engineering, Wagholi, Pune -412207
5 Prof., Dept. Computer Engineering, Dhole Patil College, Maharastra, India
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Abstract - This paper discusses Android based system to
develop online mess ordering system which will identify and
locate nearby mess and order mess food services via online. By
using GPS service, user’s location isdetectedwhichthen isused
to show nearby mess service providers which have registered
this application, by which user can easily be aware of themess
service providers prior to its location and user can select
required mess based on user’s requirements to order food.
Users can search for different varieties of mess providers and
system is able to sort them according to their price, ratings or
type of service with in their range at any place. A user based
mess review system is includedtovalidateandencouragegood
services among mess. It can likewise be valuable foreducating
mess service providers to engage in digital way of
communication. Our system also allows the user to order the
mess service based on weekly, monthly or quarterly basis. This
thought would accomplish great outcomes.
Key Words: Mess, GPS (Global Positioning System),
Google map API, Food, Travel, Online ordering,
Sorting, Android, Review, Business.
1. INTRODUCTION
Nowadays, hotels services are digitally active were as
traditional mess services lag behind, mess services don’t
have a platform for advertisement and makethemselfaware
among the busy crowd. New comers to unknown place for
job, study, travel, etc., usually face the problem in finding
mess services near to their location. Also the one who leaves
in hostel don’t always get meal for their budget or a
satisfactory canteen service they look for external food
source and end up having unhealthy junk food or having
overpriced food from hotels. Thatmotivatesustodevelopan
android application to solve these issues and promote good
service and customer satisfaction along with profiting
current mess services.
Our system will interact with user’s location with the help of
‘GPS & Geo Tagging on Android Platform’ [2] [4] and provide
information of active mess services prior to their location.
We use ‘Dijikstra algorithm’ to find the shortest path to
measure nearest mess.[1] By using this application user can
give their review based on their order history which will
validate good service practices among mess to compete for
higher ratings. Thus our system provide platform for
advertise and interact-action between mess and customers
and vice versa. Filters are added to sort on bases of user’s
requirements, such as sort by ratings, popularity, price, veg
or non-veg, nearest, etc. [5]
We use cloud computing and mobile computing and data
mining technologies in developing this system.
1.1 Location
Today android smartphones are very much common and
GPS ‘Global Positioning system’ present everywherecreating
a higher feasibility to use it in our application. [2] We use
Google map API ‘Application Interface’ for getting detailed
geographical information for identifying mess around the
user over a fixed radius. [1] Along with it we use dijikstra
algorithm to track and identify the nearest mess service.
Since we are working on android smartphones which has
limited power supply and while using GPS along with WIFI
will drain smartphone battery to a larger extent. [4] By using
several LBSs ‘Location Based Services’ running in parallel
could be beneficialfromeachother’spositioninginformation.
1.2 Online order
Our application automate traditional dealing and
subscribing mess service over a on weekly, monthly or
quarterly basis and also give ready order on need. Before
placing order we make sure that the user is registered to
avoid anonymous entry, If user gives repeated fake orders
misusing our application will be blocked by checking their
record. Order is placed after selecting mess based on
customer’s requirements such as price, time, type, rating,
reading reviews, popularity, etc. This is done by using
appropriate filters which will sort accordingly. Order is only
proceed after there is conformationfromcustomeraswell as
mess service provider for that customer.
Our main aim to fulfill customer satisfaction by making
them aware of nearby mess service providers with their
food style, which will be fulfilled using our application. [3]
We will use popular technologies for intelligent mobile
phone software development in order management via
Android and J2EE.

1.3 Review
It’s important to givecustomervalidationtomessserviceand
encourage good service to improvethestandardsandquality
of services. We use anonymous review where user name is
not displayed but not all users can give review, only that
customers who have their order history from the respective
mess can give review, thus it provides more faithful review.
Reviews are the way to give feedback and views of user
experiences. Based on the review we rate the mess and are
triggered to show top ranked mess services [5], creating a
positive completionamongmessserviceproviderstoprovide
good service to customers. Furthermore we could use
‘Latent-Semantic Analysis’ LSA algorithm [6] to analyzes the
relationships between a set of documents and the termsthey
contain by producing a set of concepts related to the
documents to provide more efficient review.
2. Proposed system
Fig -1: System Architecture
Fig -1 show the System architecture of our system. Here,
there are three users as Customer the one who place order
and review mess service, Mess owner the person who does
their business using our application and finally the Admin
termed as ‘Super user’ so that admin can have read only
permission to the users and mess database. Both the mess
owner and customer uses the same android application to
interact with each other.
Fig -2: Use case of the system
From the above Use case diagram fig-2, Mess owner must
register himself/herself through our application then only
hey are permitted to make their profile by uploading mess
pictures, details, location, menu items with price, etc.
Whereas customer can view nearby mess profiles prior to
their location with the help of Google map API. He/she can
select mess based on their requirements and place their
order. User is permitted to order only after completing their
registration process once they are registered they can log
into their account and precede their orderingprocess.Order
should be accepted by the mess provider to complete their
communication via call or notifications incase order cannot
be fulfilled. Ordered customer can share their experiences
via giving review.
Table -1: List of modules
List of modules
[A] Profile
management module
Manages user profile
details, also mess profile
including mess location
and menu details
[B] Location module Location tagging and
tracking nearby mess
service providers Mess
profile module
[C] Online ordering Order mess food online
also subscribe to mess
weekly, monthly or
quarterly basses
[D] Review and Rating
module
Review based rating
system to validate mess
service
[5] Record maintenance
module
Overall record such as
order history of users
mess service fulfillment
details for statistics

3. CONCLUSIONS
This paper discussed a framework for developing an online
mess service booking system based on user’slocation where
users are able to sort messes accordingtotheir requirement.
Here user is permitted to rate their favorite mess and give
feedback to improve and encourage their experiences with
mess providers. This system is providing the easy way
towards mess service and this is very helpful for the small
scale enterprises, employees and mainly for the students
staying far away from their home. In addition, a record
maintenance is added for statistical analysis of food
distribution over the area, which will be useful for
government, bigger business bodies to help in developing a
smarter life around us. This system helps to give more
priority to mess service and enrich their growth from their
current fading situation.
REFERENCES
[1] "Dijkstra Algorithm Applied: Design and
Implementation of a framework to find nearest Hotels
and Booking Systems in Iraqi" 2017 International
Conference on Current Research in Computer Science
and Information Technology (ICCIT), Slemani - Iraq
[2] "Travel Management System using GPS & Geo Tagging
on Android Platform" Amrah Maryam, Nadia Siddiqui,
Mohammed A. Qadeer, M. Sarosh Umar Department of
Computer Engineering, Zakir Hussain Collage of
Engineering and Technology,AligarhMuslimUniversity,
Aligarh – 202002, UP, India
[3] "An Intelligent Catering Service Platform Based on the
Android+J2EE " 2015 4th International Conference on
Advanced Information Technology and Sensor
Application School of ComputerScienceandTechnology
Harbin University of Science and Technology Harbin,
China
[4] "Energy-Efficient Position Tracking in Proactive
Location-BasedServicesfor SmartphoneEnvironments"
2011 35th IEEE Annual Computer Software and
Applications Conference Ulrich Bareth, Axel K¨upper
Deutsche Telekom Laboratories, TU Berlin Service-
centric Networking
[5] “Analysis of Review Helpfulness Based on Consumer
Perspective”, Yuanlin Chen, Yueting Chai , Yi Liu, and
Yang Xu. TSINGHUA SCIENCE AND TECHNOLOGY
ISSNll1007-0214ll09/10llpp293-305 Volume 20, 2015
[6] “ONLINE MOVIE REVIEW SYSTEM” Rahul M. Sharma,
Shital S. Barkul, Pankaj K. Sawane, Rahul M. Jeughale
Department of Computer Engineering Marathwada
Mitra Mandals College of Engineering Pune, India. Mjret
ISSN:2348 – 6953

Automated Mess Service Based on User's Location

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