💬 Enterprise Multi-Threaded Chat Hub & Analytics

An enterprise-grade Java application built with multi-threaded Socket programming to manage real-time user connections, custom channels (/join), and private direct messages (/msg)[cite: 3]. Interaction transcripts are logged to chat_logs.csv for Excel reporting, SQL analysis, and Python NLP sentiment analytics[cite: 3].

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🌟 Key Features

• Multi-Threaded Socket Routing: Real-time client handling using ConcurrentHashMap[cite: 3].
• Channel & DM System: Switch channels (/join datascience) or send private messages (/msg user hello)[cite: 3].
• Automated CSV Persistence: Logs timestamps, channels, senders, recipients, and messages to chat_logs.csv[cite: 3].
• Data Science Integration: Python NLP sentiment analysis script (chat_analysis.py) and SQL queries[cite: 3].

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🛠️ Tech Stack

• Backend: Java 17+ (Sockets, Concurrency)
• Data Science: Python 3.10+ (Pandas, NLTK Sentiment Intensity Analyzer)
• Database / SQL: DuckDB / MySQL