Inspiration

What if can quatify the happiness of a place in just minutes. The power of Big Data and AI enables us to tap into data feed of a region and topic and use that to do map out the sentiment of area. SImilarly on opposite end of the spectrum, what if there was a way to easily identify the sheer magnitude of loss and destruction, our 3D visualization enables us to do so.

What it does

There are basically two components to the solution

  1. War Visualizer: a 3D plot of war data, quantifying the damage and region most affected by violent skirmishes
  2. Sentiment Quantifier: An app that feteches twwet data using twiiter api with specific parameters, then run it through sentiment analyser and assign a score

How we built it

Built using Django platform in Python. The data for the Was visualization is scraped from : link

Challenges we ran into

It was very difficult tp push a ML project to heroku, ultimately due to unsufficient funds was not able to deploy it. Please visit Git Repository to see the demo GIF

Accomplishments that we're proud of

Doing a fun project

What we learned

Django Development

What's next for Peace Watch

Further modules to fintune predictions

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