📡 NetSage: Visualize Your Digital Footprints

NetSage is an elegant and interactive web app built with Streamlit and Pandas to help you analyze and visualize your internet usage data. Whether you're monitoring daily consumption, spotting monthly trends, or summarizing yearly activity — NetSage turns raw CSV logs into meaningful insights.

✨ Features

• 📁 Automatically loads data from usage/you_usage.csv if available
• 🖼️ Upload your own usage CSV if default file is not found
• 📅 Filter data by month and year
• 📏 Select display units: MB, GB, or TB
• 📊 Daily usage breakdown in tabular and graphical formats
• 🧮 Summary statistics:
  • Monthly total usage
  • Average daily usage (in month)
  • Yearly total usage
  • Average monthly usage (in year)

📂 CSV Format

Your CSV file should have the following columns:

Ip-Mac,Start Date,Start Time,End Date,End Time,MB Consumption

📝 Example:

A1:B2:C3:D4:E5,2025-04-01,09:00,2025-04-01,10:00,150.5
A1:B2:C3:D4:E5,2025-04-01,11:00,2025-04-01,12:00,300.75

• Place your file at: usage/you_usage.csv
• Or upload it manually when prompted

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🚀 Getting Started

1. Clone the repository

git clone https://github.com/yourusername/netsage.git
cd netsage

2. Install dependencies

pip install -r requirements.txt

3. Run the app

streamlit run app.py

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📸 Screenshots

Add screenshots here to showcase your dashboard in action

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🧰 Tech Stack

• Streamlit – UI framework
• Pandas – Data processing
• Matplotlib – Visualizations

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🧊 License

MIT License © 2025 Your Name
“Measure what you consume — visualize what you control.”

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