{"id":22918,"name":"Livestock Guardian AI","purpose":"A mobile application utilizing CoreML and on-device computer vision (YOLO) to automatically count livestock in images captured by farmers. Operates entirely offline, ensuring data privacy and reliability in remote locations. Provides farmers with a quick and accurate livestock count, improving farm management efficiency.","profitable":1,"date_generated":"Tuesday October 2026 11:07","reference":"project-livestock-guardian","technology_advise":["C#","CoreML","iOS","Medium"],"development_time_estimation_mvp_in_hours":180,"grade":7.2,"category":"mobile","view_count":7,"similar_ideas":[{"id":4832,"name":"AI-Powered Livestock Health Monitor","grade":7.0,"category":"iot"},{"id":21139,"name":"Flock Camera Identifier AI","grade":6.2,"category":"security"},{"id":19533,"name":"AnimalTrack AI","grade":8.2,"category":"iot"},{"id":7848,"name":"YOLO-iOS Object Tracker","grade":8.0,"category":"mobile"},{"id":20564,"name":"PetLens AI","grade":7.8,"category":"mobile"}],"source_headline":"App counts livestock on-device with a small YOLO/CoreML model"}