Project Interface

Below is a screenshot of the running web interface:

Historical Weather Analytics Platform

This Python-based project processes 67,000+ historical weather records (1840–2025) and generates dynamic HTML-based statistical reports hosted on a Raspberry Pi NGINX server.

Features

• Parses historical weather data year-by-year.
• Calculates monthly high/low temperatures and precipitation summaries.
• Displays results using CGI-generated HTML tables.
• Color-coded KPI dashboard with real-time weather statistics.

Technologies Used

• Python 3
• Pandas
• NumPy
• HTML/CSS
• NGINX (Raspberry Pi server hosting)

Setup Instructions

1. Install required Python packages:

   pip install -r requirements.txt

2. Run the CSV creation script:

   python create_all_csv_files.py

3. Deploy the CGI script:

   • Place display_weatherstats.py inside /usr/lib/cgi-bin/ on Raspberry Pi.
   • Ensure the script is executable.

4. Access the dashboard by visiting:

   http://<your-raspberrypi-ip>:8080/cgi-bin/display_weatherstats.py
   

Author

Saket Chahal