Synergy: The Event Management App
Journal Title: GRD Journal for Engineering - Year 2017, Vol 2, Issue 3
Abstract
Synergy is a powerful, compact package for managing and organizing events. It simplifies the process of managing an event by combining all the essential tools required for making an event a success. Synergy makes it easier to create a meeting and manage the agendas. Managing or leading a team becomes way easier using Synergy. All the important components such as creating a team, managing a team, notifying the team about important events are included and simplified in this app. It Digitizes the experience of Event Management by using Cloud Technology. Synergy also helps to manage guest lists, hence being a one stop solution for everything.
Authors and Affiliations
Aseem Pandita, Shubham Upadhyay, Darpan Shirsat, Ajay Kolekar, Madhuri Ghuge
Keywords
Related Articles
- EP ID EP224312
- DOI -
- Views 106
- Downloads 0
Casting of Aluminium Alloy with Rice Husk Ash for Disc Brake Rotor
The use of alternative materials in becoming increasingly important in various engineering fields. In this way, present study indicates the possibilities of reinforcing aluminium alloy (Al6061) with locally available ine...
Securing the Data using Advance Authentication Technique
Providing Authentication to any computer means to provide more security to that computer. There are many authentication techniques, such as textual password, graphical password, etc. but each of this individually having...
Analyses of Performance Indices in the Construction of Steel Structures
Time, safety and economy constitute the three main factors in a construction project, of which time plays a significant role in construction. Delay in any task or operation is a time overrun which influences the completi...
Geomentric Transformations and Thresholding of Images using Opencv-Python
A geometric change is any bijection of a set having some geometric structure to itself or another such set. Specifically, a geometric change is a capacity whose space and range are sets of focuses. In this paper to apply...
An Efficient Extreme Learning Machine Based Intrusion Detection System
This paper presents an intrusion detection technique based on online sequential extreme learning machine. For performance evaluation, KDDCUP99 dataset is used. In this paper, we use three feature selection techniques – f...