🚀 Real-Time Network Traffic Analytics & Forecasting Dashboard

An intelligent real-time network monitoring system built using Socket.IO, statistical modeling, and client-side analytics techniques.

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📌 Project Overview

This project is a real-time network traffic analytics dashboard that:

• Monitors live bandwidth usage
• Performs statistical analysis (Moving Average, Peak Detection)
• Forecasts future bandwidth using Linear Regression
• Detects anomalies using Z-Score
• Provides CSV export for analytics
• Includes admin authentication

Designed as a Computer Networks + Data Analytics integrated system.

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🛠 Tech Stack

Frontend

• HTML5
• CSS3 (Glassmorphism UI)
• JavaScript (ES6)
• Chart.js

Backend

• Node.js
• Express.js
• Socket.IO

Analytics Techniques

• Moving Average
• Peak Tracking
• Linear Regression Forecasting
• Z-Score Anomaly Detection

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🔥 Features

• 🔄 Real-Time Data Streaming (WebSocket)
• 📊 Interactive Charts
• 📈 Predictive Forecasting
• ⚠ High Bandwidth Alert System
• 📁 CSV Export of Analytics
• 🔐 Admin Login System
• 🌐 Network Topology Visualization

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📡 Protocols Used

• HTTP
• WebSocket
• TCP/IP
• CORS Handling

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📊 Analytics Implemented

Metric	Purpose
Moving Average	Smooths bandwidth trend
Peak Detection	Identifies highest usage
Linear Regression	Predicts next usage value
Z-Score	Detects anomalies

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📈 Future Improvements

Database integration (PostgreSQL)

JWT authentication

ML-based anomaly detection

Cloud deployment (AWS)

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👨‍💻 Author

Chris Kevin BTech CSE (Data Analytics) Aspiring Data Analyst

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▶ How to Run

1️⃣ Clone Repository

git clone https://github.com/ChrisKevin18/network-traffic-analytics-dashboard.git