Crowd-Sourced Lost and Found Application with Innovative Architecture

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"Discover a revolutionary crowd-sourced lost and found application designed by Jwala Mohith Girisha, Rajani R. Siddhanamatha, and Vijaykumar Koppad. Motivated to simplify the process of finding lost items, the system architecture incorporates a client-server model utilizing Parse as a cloud-based backend service. The user interface of the Android app allows seamless interaction for reporting lost and found objects. Explore this efficient solution aiming to bridge the gap between lost items and their owners."

  • Lost and Found
  • Crowd-Sourced
  • Application
  • Architecture
  • Parse

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  1. Crowd-sourced Lost and Found Application Jwala Mohith Girisha, Rajani R Siddhanamatha & Vijaykumar Koppad

  2. Agenda Motivation and Goals Architecture Implementation Details Progress References

  3. Motivation and Goals To find lost items is an intimidating task. Reporting found article at Lost and Found department can be equally tedious. Employ conglomeration of the current technologies to bridge the gap. Present a simple, efficient and crowd sourced application to smartphone users. Encourage crowd to report found articles on the fly and help in returning them to their rightful owners.

  4. System Architecture The solution incorporates a client server model. Clients are the smartphone applications which aid users in reporting lost and found objects. Server is a distributed cloud storage for user information and object records.

  5. What is PARSE?? Parse is a Cloud-based backend as a service (BaaS)provider for mobile applications. It supports different mobile platforms such as iOS, Android, Windows. It is built on Amazon Web Services(AWS) platform. Parse is suitable for high throughput, fast, scalable and I/O intensive operations. Currently around 50000 applications are running on Parse.

  6. Parse - Back End Architecture Image Coutesy: AWS case study (http://aws.amazon.com/solutions/case-studies/parse/)

  7. User Interface Android app provides option to enter details description about objects. along with lost/found brief Use collected information on cloud. REST APIs to gather so Send push notifications to users on matching records. lost and found

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