1. DOMAIN
MOBILE APP DEVELOPMENT
Mobile application development is the process of creating
software applications.
It run on a mobile device, and a typical mobile application
utilizes a network connection to work with remote computing
resources.
2. ABSTRACT
Geo tagging is process of adding geographical identification
metadata to various media such as picture, video, SMS
message. Generally we can’t find the specific information of
the particular places such as need blood, accident zone. we
can overcoming the issue .Here, the user can post the
information by tagging the accurate location. People who are
using this application can view the information with the
happened location. The location are to be tagged using google
map.
3. LITERATURE SURVEY
Mobile Travel Guide using Image Recognition and GPS/Geo
Tagging . A Smart Way to Travel .
Ramsha Fatima, Iffat Zarrin, Mohammed A. Qadeer, M. Sarosh Umar
In tourism system, tourist know about the place through the guide.
place, With the advancement in the technology, the role of the guide is
being taken up by the different services and applications.
Mining Geo-tagged Images for Location Inference.
Suryawanshi Chaitali #1, Tanpure Sapna*2, Shelke Anushka#3,
Dhumal Tejashri *4
we cannot detect the exact place or location of the image where it is
taken. By using geo-tagged information it is possible to know exact
location of the image where it is taken.
4. EXISTING SYSTEM
Geo-tagged Location inferring using Tag Names may not
produce correct results.
Location only can share between two users.
DISADVANTAGES:
Geo-tagged Location inferring using Tag Names may not
produce correct results.
5. PROPOSED SYSTEM
In Proposed System we are going to collect many information
about the particular place.
User can pin the location to know the history of the particular
place.
User can post the information like image, audio, video about
the thing.
ADVANTAGES:
Using Auto Suggested Algorithm we can correct the tag
names.
Easily can find out location ,where is the accident zone ,
blood location.
6. PROBLEM IDENTIFICATION
In all existing papers , location alone can be
shared. In this, location can be shared with the
information.
Then audio, video, image can be upload for the
people to know the information clearly.
9. Software Specification
Operating System : Windows 10
Data Base : PHP
Language : JavaScript
Front End : Android Studio(Flutter)
Back End : Laravel
10. MODULES DESCRIPTION
Sign up/Login
User Registration(User Name , Mobile Number , Password)
Home Screen(Search, Edit Profile ,Share, Logout)
Add Tag Details(Title Description ,Upload image, Upload
Video , Tag Keywords)
18. CONCLUSION
We choose the geo tagging method for our project and our domain is
mobile application. It was based to find the unknown location and it
will give the details about the unknown places. We use the tagging
method to find the details about the places and locations. One users
will help to another user through this tagging method, then we are
used the android flutter app for designing the pages and tag the
information. This app access the user’s location while using this
app. User details and mobile numbers are sent to the database;
sometimes the user can post the wrong information so we find the
fake id through the mobile number. We used auto suggest algorithm
for searching purpose because some users have a language problem
so this algorithm was used our project. This project was very useful
to get the information about the new places.
19. FUTURE ENHANCEMENT
In our project cannot be find the fake id, so in future
we will improve to find the fake id.
20. REFERENCES
[1] Dadape Jinendra R., Jadhav Bhagyashri R., Gaidhani Pranav Y., Vyavahare
Seema U., AchaliyaParag N., "Smart Travel Guide: Application for Android
Mobile", 1st International Conference on Recent Trends in Engineering &
Technology, Mar-2012Special Issue of International Journal of electronics,
Communication & Soft Computing Science & Engineering, ISSN: 2277-9477.
[4] Sawsan Alshattnawi, "Building Mobile Tourist Guide Applications using
Different Development Mobile Platforms", Jordan, Irbid, Yarmouk University,
Faculty of Information Technology and Computer Science, International Journal of
Advanced Science and Technology Vol. 54.
[3]S. Kumar, M. A. Qadeer, S. K. Singh, “Convergence of LBS and AI”, in
International Journal of Machine Learning and Computing, IJMLC, Vol. 2 No. 6, pp
729-732, December 2012, Singapore.
[4] M. A. Qadeer, A. Chandra, S. Jain, “Design and Implementation of Location
Awareness and Sharing System using GPS and 3G/GPRS”, in International Journal
of Multimedia and Ubiquitous Engineering, IJMUE, Vol. 7, No. 4, October 2012,
pp 125-140, SERSC, Australia .