A Deep learning approach to identifying stray dogs App

Project Code :TCMAAN1134

Objective

The objective is to develop an intuitive Android application enabling users to easily report animal welfare concerns, assess dog health, and connect with nearby NGOs for prompt assistance. By fostering seamless communication and collaboration between users and NGOs, the app aims to expedite the resolution of complaints, promote responsible pet ownership, and improve overall animal welfare within communities.

Abstract

Proposing an Android application facilitating user registration, login, and dog health assessment through image capture. Users can snap dog pictures and assess their health status, distinguishing between healthy and unhealthy conditions. Additionally, the app provides a feature to locate nearby NGOs for reporting complaints regarding animal welfare. Admins can manage NGO listings, ensuring seamless resolution of reported issues. Users gain access to view other complaints and glean valuable animal care precautions. This application aims to empower users to contribute to animal welfare by reporting concerns, connecting with relevant NGOs, and accessing vital information for responsible pet ownership. Through streamlined functionality, it fosters a community-driven approach towards animal welfare advocacy and intervention.


KEYWORDS: Registration, Login, Assessment, Complaint, Resolution, Management, Oversight.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Hardware Requirements

  • Processor                       -    I3/Intel Processor
  • RAM                             -    8 GB
  • Hard Disk                      -    1TB

Software Requirements

  • Operating System          -        Windows 10   
  • JDK                                -        java
  • Plugin                             -       Kotlin
  • SDK                                -       Android
  • IDE                                 -       Android studio
  • Database                         -       server script, MySQL

Demo Video