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GROUP MEMBERS 
 Ms. Aliva Maity 
Ms. Sneha Salunkhe 
 Mr. Mahendra Botre 
 Mr. Amol Garje 
UNDER THE GUIDANCE OF 
Mrs. Swati Patil
 Introduction to the project 
 Existing system 
 Limitation to the existing system 
 proposed system 
 UML diagram 
 Flow system 
 Data flow diagram 
 Advantages of proposed system and application 
 Result of the system 
 References
 1. Brute Force Search 
 2 .Dynamic Programming 
 3 .Greedy Approach 
 4 .Branch and Bound
 They don’t give us the shortest path 
 Here customer has to go many different sites 
for comparisons for best hotel or vehicle
 After the user had enter the journey details 
(i.e. state ,region, city) our website will 
calculate the distance between those places 
and provide you the shortest path from your 
original place 
 After the user ask some query the admin can 
immediately do the changes as the user 
required
 Step 1:customer has to log in 
 Step 2:than he or she has to give the details of where he 
wants to spend his vacation 
1.write their arrival date at a spot 
2.write the date for last day of vacation 
3.Select the state 
4.select the region 
 Step 3:give the time you want to spend in each spot (i.e 
2hr ) 
 Step 4:give the speed of the car you want to travel 
than there will be result 
 Step 5: if the customer has any queries he can ask to 
the admin and resolve
 In the industrial world, the travelling 
Salesman Problem can be applied to different 
optimization problems. 
 The shipping, aviation industry and setting 
up factories across the globe can benefit 
from an efficient algorithm for the travelling 
salesman problem. 
 The overall cost of transport can be 
substantially reduced
 In the industrial world, 
 the travelling Salesman can use them 
 The shipping, aviation industry
day1 
srno time 1st place diatance 2nd place 
1 8:00 Adlabs Imagica 78km 
sanjay gandhi 
national park 
2 10:00 
Sanjay Gandhi 
national park 
17.5km aksa beach 
3 12:00 aksa beach 54km elephanta caves 
day 2 
srno time 1st plce distance 2ndplace 
4 8:00 elephanta caves 30.03km Juhu beach 
5 10:00 Juhu beach 20.6km 
Gate way of 
India
REFERENCE 
• Konstantinos G.Zografos and Michael A.Madas, “A Travel and Tourism 
System Providing Readl-Time, Value Added Logistical Services on the 
Move”, Athens University of Economics & Business(AUEB). 
WEB REFERENCES 
• www.doc.ic.ac.uk 
• www.google.com 
• www.Ask.com
Travel planning

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Travel planning

  • 1.
  • 2. GROUP MEMBERS  Ms. Aliva Maity Ms. Sneha Salunkhe  Mr. Mahendra Botre  Mr. Amol Garje UNDER THE GUIDANCE OF Mrs. Swati Patil
  • 3.  Introduction to the project  Existing system  Limitation to the existing system  proposed system  UML diagram  Flow system  Data flow diagram  Advantages of proposed system and application  Result of the system  References
  • 4.  1. Brute Force Search  2 .Dynamic Programming  3 .Greedy Approach  4 .Branch and Bound
  • 5.  They don’t give us the shortest path  Here customer has to go many different sites for comparisons for best hotel or vehicle
  • 6.  After the user had enter the journey details (i.e. state ,region, city) our website will calculate the distance between those places and provide you the shortest path from your original place  After the user ask some query the admin can immediately do the changes as the user required
  • 7.
  • 8.  Step 1:customer has to log in  Step 2:than he or she has to give the details of where he wants to spend his vacation 1.write their arrival date at a spot 2.write the date for last day of vacation 3.Select the state 4.select the region  Step 3:give the time you want to spend in each spot (i.e 2hr )  Step 4:give the speed of the car you want to travel than there will be result  Step 5: if the customer has any queries he can ask to the admin and resolve
  • 9.
  • 10.  In the industrial world, the travelling Salesman Problem can be applied to different optimization problems.  The shipping, aviation industry and setting up factories across the globe can benefit from an efficient algorithm for the travelling salesman problem.  The overall cost of transport can be substantially reduced
  • 11.  In the industrial world,  the travelling Salesman can use them  The shipping, aviation industry
  • 12. day1 srno time 1st place diatance 2nd place 1 8:00 Adlabs Imagica 78km sanjay gandhi national park 2 10:00 Sanjay Gandhi national park 17.5km aksa beach 3 12:00 aksa beach 54km elephanta caves day 2 srno time 1st plce distance 2ndplace 4 8:00 elephanta caves 30.03km Juhu beach 5 10:00 Juhu beach 20.6km Gate way of India
  • 13. REFERENCE • Konstantinos G.Zografos and Michael A.Madas, “A Travel and Tourism System Providing Readl-Time, Value Added Logistical Services on the Move”, Athens University of Economics & Business(AUEB). WEB REFERENCES • www.doc.ic.ac.uk • www.google.com • www.Ask.com