TRAFFIC JAM WARNINGS FROM A DATA STREAM
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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
  traffic_stream.py           the program, one section per step of the Data Science Methodology
  traffic_stream.ipynb        the same program as a Jupyter notebook
  traffic_sensors.csv         the data it reads
  festival_days.csv           the data it reads
  chart1_hourly_speed.png     a chart the program draws
  chart2_jam_heatmap.png      a chart the program draws
  chart3_cleaning.png         a chart the program draws
  chart4_models.png           a chart the program draws
  chart5_recall_by_hour.png   a chart the program draws
  chart6_stream_evening.png   a chart the program draws
  chart7_festival.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 traffic_stream.py
     or open traffic_stream.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/traffic-stream
