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Design and Development of a Trusted
Home Searching Web Application
Supervisor :
Name: Ms. Babe Sultana
Designation: Lecturer
Green University Of Bangladesh
Team Members :
Name: Mahmuda Akter
ID: 181002013
Name: Monjurul Islam
ID: 181002050
1
Outline
1. Objective.
2. Motivation.
3. Literature Review.
4. Problem Description.
5. Technologies.
6. Features.
7. Future Direction.
8. Conclusion.
9. Reference.
2
Objective
 Simplify the process of finding a home.
 Those who are new to the city faces housing
problems.
 Landlords do not want to rent bachelor houses.
 Find a home within your budget in your
selected area.
 Landlords will be able to give free ads to their
vacant homes.
3
Motivation
 Human life has become dependent on science and
technology.
 They want technology to make their lives easier.
 One of the major problems in our country is the housing
problem.
 Finding a home is also a hassle in this town.
 We are trying to make a web application where everyone
can easily find their home.
4
Literature Review
Henry Peter Gommans, George Mwenda Njiru, Arphaxad Nguka
Owange (2020):
 They prepared questionnaires and submitted them to a number of rental
house managers and gathered information from them.
 Manually all this work with a lot of paper work involved.
 Easily get damaged or get lost leading to loss of data.
 Getting a certain file to check data from many files becomes a difficult
task.
 They decided to develop a rental house management system that can
solve all the problems experienced with the current manual system.
Henry Peter Gommans, George Mwenda Njiru, Arphaxad Nguka Owange, “Rental House Management System,” International Journal of Scientific and Research
Publications, Volume 4, Issue 11, November 2020.
References
5
Hua Liu, Wenmei Pan(2018) :
 The efficiency of the operation of the public rental housing system in
some cities of our country is evaluated by the method of DEA.
 Efficiency of the public rental housing system in China is not due to the
shortage of capital investment, which is mainly due to the unreasonable
allocation of investment funds.
Literature Review (Continue)
References
Hua Liu, Wenmei Pan, "Efficiency Evaluation of Public Rental Housing Policy Based on DEA", International Conference on Management Science and
Innovative Education (MSIE 2018).
6
R.B. SHRIRAM; P.NANDHAKUMAR (2019):
 Helps user to register individual home or apartment and finding the
perfect rental home or property.
 Also anyone can find their next rental from search view in their targeted
area.
 This website is designed to attend to all user needs from buying
property, selling property or renting/leasing of property in India.
Literature Review (Continue)
References
R.B. SHRIRAM, P.NANDHAKUMAR, Dr. N.REVATHY and Dr. V.KAVITHA, “House (Individual House/Apartment) Rental Management System,”
International Journal of Computer Science and Mobile Computing, Vol.8 Issue.9, September- 2019.
7
Problem Description
 We prepare a scheduling plan to complete the project on time.
8
Technologies
 Which software will we use?
 Backend -
 PHP
 Framework – Laravel
 Frontend -
 Bootstrap
 HTML
 CSS
 JavaScript
 Database -
 MySQL
9
Features
 Category
1. Residential
2. Bachelor Home
 Search Rent
 Sign Up (Optional)
 Log In (Extra Advantage)
 Admin Panel
10
Future Direction
 System updated as per user requirement.
 Better service for new users.
 Add new features for user satisfaction.
 This site will be able to find and buy vacant land
in the future.
 Those who need a home loan can apply for a
loan from different banks through this site.
 If someone likes a house, then he will make
advance payment and book his house through
this site.
 We also plan to offer our service outside the city.
11
Conclusion
With this project, those who are looking for a new home
can easily use it to find a home. If there is any leakage
then it will be updated.
12
References
 R.B. SHRIRAM, P.NANDHAKUMAR, Dr. N.REVATHY and Dr. V.KAVITHA,
“House (Individual House/Apartment) Rental Management System,” International
Journal of Computer Science and Mobile Computing, Vol.8 Issue.9, September-
2019.
 Dr R Suneetha Rani, K Tejo Venkat, K Praveen Kumar, T Vamsi Krishna, R V Bala
Chandar, “Online Rental House,” Science, Technology and Development, Volume
IX Issue XII, December 2020.
 Henry Peter Gommans, George Mwenda Njiru, Arphaxad Nguka Owange, “Rental
House Management System,” International Journal of Scientific and Research
Publications, Volume 4, Issue 11, November 2020.
 A. G. Norjihan and T. H. Chew, “The Development of Online House Rental and
Advertising System,” Proceedings of International Conference on E-Commerce
2005.
13
14
 Hua Liu, Wenmei Pan, "Efficiency Evaluation of Public Rental Housing Policy Based on
DEA", International Conference on Management Science and Innovative Education
(MSIE 2018).
 Seong-Kyu Kim and Jun-Ho Huh,"Autochain platform: expert automatic algorithm
Blockchain technology for house rental dApp image application model", Kim and Huh
EURASIP Journal on Image and Video Processing (2020).
 Syed Ahmad Fadhil, Rosmah Abdul Latif, Suzana Baharudin and Nur Fadhlina Zainal
Abedin,"Utilizing Simple Additive Weighting Method in the Development of Housing
Rental Mobile App System: UHRS", MNNF Publisher. eISBN No: 978-967-17324-7-2
(Published on 14 May 2020).
 Junaid A. K., Aasif Y. and Shahid M. B. (2017), Rental Housing Management
System,"International Journal of Computer Science and Mobile Computing"
References (Continue)
15
16

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Home Searching

  • 1. Design and Development of a Trusted Home Searching Web Application Supervisor : Name: Ms. Babe Sultana Designation: Lecturer Green University Of Bangladesh Team Members : Name: Mahmuda Akter ID: 181002013 Name: Monjurul Islam ID: 181002050 1
  • 2. Outline 1. Objective. 2. Motivation. 3. Literature Review. 4. Problem Description. 5. Technologies. 6. Features. 7. Future Direction. 8. Conclusion. 9. Reference. 2
  • 3. Objective  Simplify the process of finding a home.  Those who are new to the city faces housing problems.  Landlords do not want to rent bachelor houses.  Find a home within your budget in your selected area.  Landlords will be able to give free ads to their vacant homes. 3
  • 4. Motivation  Human life has become dependent on science and technology.  They want technology to make their lives easier.  One of the major problems in our country is the housing problem.  Finding a home is also a hassle in this town.  We are trying to make a web application where everyone can easily find their home. 4
  • 5. Literature Review Henry Peter Gommans, George Mwenda Njiru, Arphaxad Nguka Owange (2020):  They prepared questionnaires and submitted them to a number of rental house managers and gathered information from them.  Manually all this work with a lot of paper work involved.  Easily get damaged or get lost leading to loss of data.  Getting a certain file to check data from many files becomes a difficult task.  They decided to develop a rental house management system that can solve all the problems experienced with the current manual system. Henry Peter Gommans, George Mwenda Njiru, Arphaxad Nguka Owange, “Rental House Management System,” International Journal of Scientific and Research Publications, Volume 4, Issue 11, November 2020. References 5
  • 6. Hua Liu, Wenmei Pan(2018) :  The efficiency of the operation of the public rental housing system in some cities of our country is evaluated by the method of DEA.  Efficiency of the public rental housing system in China is not due to the shortage of capital investment, which is mainly due to the unreasonable allocation of investment funds. Literature Review (Continue) References Hua Liu, Wenmei Pan, "Efficiency Evaluation of Public Rental Housing Policy Based on DEA", International Conference on Management Science and Innovative Education (MSIE 2018). 6
  • 7. R.B. SHRIRAM; P.NANDHAKUMAR (2019):  Helps user to register individual home or apartment and finding the perfect rental home or property.  Also anyone can find their next rental from search view in their targeted area.  This website is designed to attend to all user needs from buying property, selling property or renting/leasing of property in India. Literature Review (Continue) References R.B. SHRIRAM, P.NANDHAKUMAR, Dr. N.REVATHY and Dr. V.KAVITHA, “House (Individual House/Apartment) Rental Management System,” International Journal of Computer Science and Mobile Computing, Vol.8 Issue.9, September- 2019. 7
  • 8. Problem Description  We prepare a scheduling plan to complete the project on time. 8
  • 9. Technologies  Which software will we use?  Backend -  PHP  Framework – Laravel  Frontend -  Bootstrap  HTML  CSS  JavaScript  Database -  MySQL 9
  • 10. Features  Category 1. Residential 2. Bachelor Home  Search Rent  Sign Up (Optional)  Log In (Extra Advantage)  Admin Panel 10
  • 11. Future Direction  System updated as per user requirement.  Better service for new users.  Add new features for user satisfaction.  This site will be able to find and buy vacant land in the future.  Those who need a home loan can apply for a loan from different banks through this site.  If someone likes a house, then he will make advance payment and book his house through this site.  We also plan to offer our service outside the city. 11
  • 12. Conclusion With this project, those who are looking for a new home can easily use it to find a home. If there is any leakage then it will be updated. 12
  • 13. References  R.B. SHRIRAM, P.NANDHAKUMAR, Dr. N.REVATHY and Dr. V.KAVITHA, “House (Individual House/Apartment) Rental Management System,” International Journal of Computer Science and Mobile Computing, Vol.8 Issue.9, September- 2019.  Dr R Suneetha Rani, K Tejo Venkat, K Praveen Kumar, T Vamsi Krishna, R V Bala Chandar, “Online Rental House,” Science, Technology and Development, Volume IX Issue XII, December 2020.  Henry Peter Gommans, George Mwenda Njiru, Arphaxad Nguka Owange, “Rental House Management System,” International Journal of Scientific and Research Publications, Volume 4, Issue 11, November 2020.  A. G. Norjihan and T. H. Chew, “The Development of Online House Rental and Advertising System,” Proceedings of International Conference on E-Commerce 2005. 13
  • 14. 14  Hua Liu, Wenmei Pan, "Efficiency Evaluation of Public Rental Housing Policy Based on DEA", International Conference on Management Science and Innovative Education (MSIE 2018).  Seong-Kyu Kim and Jun-Ho Huh,"Autochain platform: expert automatic algorithm Blockchain technology for house rental dApp image application model", Kim and Huh EURASIP Journal on Image and Video Processing (2020).  Syed Ahmad Fadhil, Rosmah Abdul Latif, Suzana Baharudin and Nur Fadhlina Zainal Abedin,"Utilizing Simple Additive Weighting Method in the Development of Housing Rental Mobile App System: UHRS", MNNF Publisher. eISBN No: 978-967-17324-7-2 (Published on 14 May 2020).  Junaid A. K., Aasif Y. and Shahid M. B. (2017), Rental Housing Management System,"International Journal of Computer Science and Mobile Computing" References (Continue)
  • 15. 15
  • 16. 16