Fake-Off!

The problem statement we chose is inclined towards stopping the spread of fake news, which often-time causes civil Break down.

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The recent scenario of our society amidst the growing chaos against the CAA and NRC bills has been worsened by the various fake posts that spread like wild fires. Now it is our duty as such to stop them.

Our application uses "reverse image search" and "web-scraping" as its base concept. Using the two concepts to filter the upload dates of images and then check their authenticity.

This app was built on Android Studio, using java as the base language. Firebase was used to hold database. Web-scraping involved the use of Beautiful-Soup, which is a HTML-CSS-JAVASCRIPT parser. the python code was integrated into the java code using the jython library.

The implementation of reverse image search API was an issue because of the unavailablity of open source API. The app takes web data for scraping from google's search results, this makes it quiet hard to find accurate results and also generalizing the code for differnet websites is quiet difficult.

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The integration of Python code into a java application. The concept of web scrapping was also new and exciting. We also learned about new python libraries as well as about AnDroid Development tools.

The future versions of this app may expect use of larger data sets as the app collects data over time. This would help us predict the credibility of various News and info graphic websites.

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