Call & Signal Tracker

A Python-based educational tool for analyzing user-provided call-log and mobile-network signal data from CSV or JSON files.

Important: This project does not intercept calls, access telecom networks, locate devices, or collect data from other people's phones. It only analyzes data that the user already has permission to analyze.

Features

• Import CSV and JSON datasets
• View all records
• View incoming, outgoing, and missed calls
• Search records by phone number
• Filter records by date range
• Analyze RSRP signal strength
• Find strongest and weakest cells
• Analyze network/radio-type distribution
• Show summary statistics
• Export analyzed data to CSV

Installation

Python 3.8+ is recommended.

git clone https://github.com/es33s/call-signal-tracker.git
cd call-signal-tracker
pip install -r requirements.txt

Run

python call_signal_tracker.py

On some systems:

python3 call_signal_tracker.py

Try the included sample data

Start the program:

python call_signal_tracker.py

Choose:

1. Import Data

Then enter:

data/sample_data.csv

The sample dataset contains fictional/test values only.

Expected CSV columns

The analyzer expects these columns:

timestamp
call_type
phone_number
duration
cell_id
lac
mcc
mnc
radio_type
rsrp

RSRP

RSRP is a common LTE/5G signal-strength measurement expressed in dBm. Because the values are normally negative, a value closer to zero generally represents a stronger signal.

For example:

-70 dBm  → stronger
-100 dBm → weaker

Responsible Use

Use this project only with data you own or are explicitly authorized to analyze. Do not upload real phone numbers, private call logs, or sensitive telecom information to a public repository.

The included sample data is fictional.

License

MIT License. See LICENSE.