NeoAI: Socializing Reinvented with AI

Abstract: This research presents NeoAI, an AI-powered social media application designed to improve user experience through personalized content delivery. Unlike traditional platforms that use basic or chronological feeds, NeoAI leverages machine learning to analyze user interactions such as likes, comments, and watch time. It uses collaborative filtering on a user-item interaction matrix to recommend relevant content. The system is built with a full-stack architecture including React.js, Node.js, Express.js, MongoDB, and a FastAPI-based ML service. In addition to recommendations, the platform supports features like posts, reels, stories, messaging, and notifications. By integrating AI, NeoAI enhances engagement, content discovery, and overall usability, making social media more intelligent and user-centric.

Keywords: Social Media, Recommendation System, Collaborative Filtering, Machine Learning, React.js, Node.js, MongoDB, FastAPI.