Enhancing User Engagement on a Mobile Social Media Platform through Integrated AI-Powered Content Creation and Assistance

In the contemporary digital ecosystem, social media platforms are central to communication and content sharing. However, traditional platforms often place a significant creative burden on users, requiring manual effort for content creation, photo editing, and captioning. This paper presents the design and development of an AI-Powered Social Media Platform, a native Android application built in Java, that aims to mitigate these challenges. The system introduces a smarter, more interactive social networking experience by seamlessly integrating a suite of Artificial Intelligence (AI) features. The core innovations include: (1) an AI-driven caption generator that leverages image recognition and Natural Language Processing (NLP) to automatically suggest relevant post descriptions; (2) real-time, Augmented Reality (AR) face filters that allow users to apply dynamic visual effects before posting; and (3) an AI-powered chatbot that serves as a virtual assistant for content strategy, suggesting trending hashtags and captions. The application is supported by a scalable, serverless backend using Google’s Firebase for user authentication, data storage, and file management. This paper details the system’s architecture, the implementation of its core AI modules, and its user-centric design, demonstrating a novel approach to reducing creative friction and enhancing user engagement in social media.