A FLOOD EARLY-WARNING MODEL
===========================

A sample capstone project for CBSE Class XII, Artificial Intelligence
(Subject Code 843), Part C. From LambdaLab - https://www.lambdalab.in

WHAT IS IN HERE
  flood_warning.py            the program, one section per step of the Data Science Methodology
  flood_warning.ipynb         the same program as a Jupyter notebook
  river_gauge.csv             the data it reads
  monsoon_2025.csv            the data it reads
  chart1_season_2022.png      a chart the program draws
  chart2_balance.png          a chart the program draws
  chart3_upstream.png         a chart the program draws
  chart4_upstream_3day.png    a chart the program draws
  chart5_confusion.png        a chart the program draws
  chart6_by_year.png          a chart the program draws
  chart7_threshold.png        a chart the program draws
  chart8_monsoon_2025.png     a chart the program draws

HOW TO RUN IT
  1. Install the libraries once:  pip install pandas numpy matplotlib scikit-learn opencv-python
  2. Keep this folder together - the program looks for its data beside it.
  3. Either run:  python flood_warning.py
     or open flood_warning.ipynb in Jupyter Notebook and run the cells in order.
  The charts are saved into this folder as PNG files.

THE DATA
  The dataset is a LambdaLab SAMPLE, made by a program to behave like the real
  thing so that the project can be run before you have collected anything.
  It is not real data and must not be presented as though it were. Replace
  it with data you collected, and say in your report where it came from.

THE NO-CODE VERSION
  The curriculum also builds AI projects without code, in Orange Data Mining.
  The report shows how to build this same project there.

The full report, with every section CBSE marks, is on the project's page:
  https://www.lambdalab.in/learn/ai-12-projects/flood-warning
