Pets recognition system

Our final year project is a smart Pet Recognition and Tracking System developed using Flutter and RF

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Objectives

The main objective of this project is to develop a smart and reliable pet recognition system using RFID technology and a mobile application. By embedding RFID chips in pets and connecting them to a Flutter-based app, the system helps in identifying pets and linking them with their respective owners.

Socio-Economic Benefit

This project promotes animal welfare by reducing the number of lost or unidentified pets through a reliable identification system. It supports pet owners, veterinary clinics, and rescue organizations by making pet data easily accessible and verifiable.

Methodologies

The project follows a structured approach starting with requirement analysis to understand the needs of pet owners and clinics. Then, RFID technology was selected for pet identification, followed by the design and development of a cross-platform mobile app using Flutter and Dart. The app was connected to Firebase for real-time data storage and authentication. Hardware integration was achieved by connecting an RFID reader with the app.

Outcome

The project successfully resulted in a working pet recognition system that allows scanning RFID chips implanted in pets and retrieving their information through a Flutter-based mobile application.

Project Team Members

Registration# Name
CU-2003-2021 Haroon Shah
CU-1957-2021 Muhammad Adnan
CU-1991-2021 Mansoor Khan

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