Published Paper Details:

This machine learning project explores a diverse range of applications, including image classification, object detection, flower identification, face detection, pose estimation, face recognition, bird sound identification, audio classification, spam detection, and visitor analysis on Android devices. Leveraging cutting-edge machine learning algorithms and techniques, the project aims to address various challenges and opportunities in these domains. From accurately categorizing images to detecting objects in complex scenes, identifying flower species, recognizing faces, estimating poses, classifying audio signals, detecting spam, and analyzing visitor behavior, the project delves into the intricacies of machine learning applications. By investigating state-of-the-art models and methodologies, the project endeavors to contribute to advancements in artificial intelligence and enhance the capabilities of intelligent systems across multiple domains.