A distributed, SSL-secured client-server system that monitors, analyzes, and visualizes network download performance across multiple devices in real time.
NetLens is designed to automate network performance analysis by collecting and processing download metrics such as latency, throughput, and bandwidth from multiple clients.
It simulates a real-world network monitoring system using low-level socket programming and secure communication.
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Secure Communication using SSL/TLS sockets
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Multi-Client Architecture (Distributed System)
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Interactive Dashboard with real-time analytics
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Performance Metrics Tracking
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Latency (ms)
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Throughput (Mbps)
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Bandwidth (Mbps)
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Download Time
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Centralized Data Storage using SQLite
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Alert System for high latency detection
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Robust Handling of timeouts and network instability
Client → SSL Socket → Analyzer Server → Database → Dashboard
- Clients: Perform downloads and send metrics
- Server: Receives, processes, and stores data
- Database: Stores logs and performance records
- Dashboard: Visualizes analytics
- Client performs download
- Measures network metrics
- Sends data securely to server
- Server processes and stores data
- Dashboard displays insights
pip install -r requirements.txtcd server
python server.pycd client
python client.pycd dashboard
python dashboard.pyThe system evaluates network performance using:
- Download Speed
- Throughput
- Latency
- Bandwidth Utilization
It supports analysis under:
- Multiple concurrent clients
- Variable network conditions
- Real-time data aggregation
This project is designed for LAN-based environments.
Due to network restrictions:
- Public WiFi may block device communication
- Hotspots may cause instability
Recommended:
- Same local network
- OR tunneling tools (e.g., ngrok)
- Handling SSL handshake delays
- Managing unstable network conditions
- Debugging socket-level errors
- Designing multi-client concurrent systems
- Python (Socket Programming, SSL)
- SQLite (Database)
- Flask (Dashboard)
- HTML/CSS/JS (Visualization)
NetLens demonstrates a complete end-to-end network monitoring system using low-level socket programming, secure communication, and real-time analytics.
It bridges theoretical networking concepts with practical implementation.
This project was developed collaboratively as part of the Computer Networks course, focusing on practical implementation of socket programming, secure communication, and network performance analysis.
- Jashruth K A – Implemented SSL-based secure communication and developed the dashboard for data visualization and analysis
- Jai Jaswanth – Designed and implemented the server-side logic, including connection handling and database integration
- Krati Patel – Worked on the client module, including data collection, testing, and performance metric generation
Due to centralized development and integration, most commits are from a single repository owner. However, the system design, implementation, and testing were carried out collaboratively.