Partyfinder–Ai-Nlp Powered Event Discovery

Abstract

In the modern era of Artificial Intelligence (AI) and Natural Language Processing (NLP), user interaction with technology has become more conversational and intuitive. Traditional event discovery applications rely on static filters and predefined keywords, limiting personalization. This paper presents PartyFinder, an AI-powered event discovery platform that understands user intent and emotions expressed in natural language to recommend suitable social events such as parties, concerts, and gatherings.The system integrates Flask for NLP processing, Node.js and Express for backend handling, and Firebase for real-time data synchronization. It leverages sentiment analysis, intent recognition, and entity extraction to process free-form user queries like “DJ night near me” or “quiet dinner for couples.” PartyFinder also includes an interactive chatbot interface, real-time mapping, andintegrated ticket booking for a seamless user experience. This AI-driven system bridges the gap between human language and event data, providing context-aware, dynamic, and personalized recommendations.