A Mobile App to Assist During Encounter of Any Identified Wildlife Posing Danger to Mankind

Wildlife conservation efforts often face challenges related to communication, coordination, and timely response in rescue operations. This study describes the creation of a smartphone application that aims to facilitate wildlife rescue in order to address these problems. The Wildlife Rescue Mobile App enables public users to report sightings of wildlife in distress, allowing nearby rescuers to receive real-time notifications. Administrators can efficiently manage rescuer assignments, track incident reports, and oversee rescue operations. Built on a client-server architecture using Firebase for backend services, the app integrates features such as geolocation, notifications, species identification, and access to nearby hospitals. The platform supports three user roles public, rescuer, and administrator each with distinct functionalities. Through this system, the app fosters collaboration between the public and conservation efforts, ensuring faster and more organized wildlife rescue operations. The system’s architecture, design specifications, and testing results demonstrate the app’s scalability, usability, and effectiveness in wildlife conservation. Future enhancements could include AI for species recognition, offline functionality, and integration with emergency services.