Smart pet registration system

A smart pet Adoption and Management System has been developed using Flask, TensorFlow, SQL Alchemy, React Native, and geolocation APIs. The platform is designed to support municipal authorities, animal shelters, and the general public by enabling automated dog breed identification from images, generating digital dog licenses, reporting stray dogs through GPS, and managing all stages of the adoption process. The proposed system preprocesses uploaded dog images and identifies the breed using a MobileNetV2 deep learning model. It further verifies adopters through Aadhaar-based authentication and maps stray dog sightings to the nearest shelter using real-time location data. The web/mobile interface allows users to upload images, view breed predictions along with confidence scores, report supports stray dogs, and initiate adoption requests. By automating tasks traditionally performed manually, the system minimizes reporting delays, enhances transparency, and enables faster rescue operations. Ultimately, it strengthens community involvement and compassionate, data-driven animal welfare practices.