ANDROID APPLICATION

2. Present by
Mansi Tyagi

4. INTRODUCTION

5. Android is a Linux-based operating
system.
Developed by Google in conjunction with
the Open Handset Alliance .
Google releases the Android code as open
source, under the Apache License .
Designed primarily for touchscreen
mobile devices such as smartphones and
tablet computers.

6. I proposed a Call Tracking Management System on
BPO for any Telecom Company who takes up
call/complaints from Customers and act accordingly
upon them.
Design to serve our customer request quickly and
effectively.
Customer Call Tracking Management System is a
web-based application intended to provide automated
solution to customer’s Problem/Complaint.

7. VERSIONS

8. • Beta (november,2007)
• 1.0 (september,2008)
• 1.1 (february,2009)
• 1.5 Cupcake (april,2009)
• 1.6 Donut (september,2009)
• 2.0 Éclair (october,2009)
• 2.2 Froyo (may,2010)
• 2.3 Gingerbread (december,2010)
• 3.0 Honeycomb (february,2011)
• 4.0 Ice Cream Sandwich (October 19, 2011)
• 4.1 Jelly Bean (July 9, 2012)
• 4.2 Jelly Bean (November 13, 2012)
• 4.3 Jelly Bean (october, 2013)
• 4.4 Kitkat (June 2014)
• 5.0 Lollipop (November 12,2014)
• 5.0.1 Lollipop (December 2,2014)
• 5.0.2 Lollipop (December 19,2014)

9. H/W & S/W
REQUIREMENTS

10. Minimum Hardware Requirement :
RAM
2 GB is required to Create this application on PC
32 MB is required to run this application on Mobile or Emulator.
Hard Disk:
3 GB is required to Create this application on PC
5 GB is required to create this website on pc
Around 1 MB is required to run this application on Mobile

11. Minimum Software Requirement :
For PC
Java Development Kit (JDK)
Eclipse (Editor)
The Android SDK
Inbuilt SQLite Database
ASP.NET
Visual Studio 2012
For Mobile
Internet Connection is Required

15. 4. COMPLAINT ENTRY PROCESS

16. 5. PROBLEM ASSIGNMENT PROCESS

17. 6. PROBLEM SOLVING PROCESS

18. 7. PROBLEM /COMPLAINT STATUS CHECKING PROCESS

19. SCREEN 1: Home page

20. SCREEN 2: student registration

21. SCREEN 3: Student Login

22. SCREEN 4: student profile

23. SCREEN 5 : student marks

24. SCREEN 6: Staff login
SCREEN 4: Staff login

25. SCREEN 7: staff registration

26. SCREEN 8: K-Means clustering page

27. SCREEN 9: Graphical representation of clusters.

28. K-means clustering is one of the most efficient
clustering algorithms used in the data mining.
K-Means clustering tends to find clusters of
comparable spatial extent,while the expectation-
maximization mechanism allows clusters to have
different shapes.
It also makes use of the centroid calculation for
determining the required clusters.

29. ANY
QUERIES…
?