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sceptique's Introduction

Sceptique

Project Submission for Syntax Error 2023

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Contents

  • Set Up
  • What is Sceptique
  • How to Use Sceptique
    1. Out Truth
    2. Summarizer
    3. Press N Pulse
  • Future Scopes
  • Contributors

Set Up

Clone the Repository and then in the project directory run the CLI command python manage.py runserver

Languages/Framework and their version

Python 3.10+

BootStrap

Django

What is Sceptique?

Sceptique is a web app aimed at easing the process of detecting fake news, Summarizing large documents and finding out the online public image related to a brand or celebrity name.

-With the Out-Truth feature we hope to weed out fake news on internet.

-Let people be able to read large T&C documents which many a time contain alot of questionable terms but people agree to them without reading just beacause of their humongus sizes.

-In this Day and Age the online public image matters alot to company or proffesional , using Press-N-Pulse one can find out about it and that too in any specified time range.

How to Use Sceptique?

1. Out Truth

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To use Out Truth you need to just submit the URL for the article you feel scepticle about and the site return wether it's fake news or not.

2.Summarizer

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To Summaraize a Long T&C article for you Enter the URL for the Doc and the Max word Limit.The site return a Summarized text to you within th word limit specified.

3.Press N Pulse

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To find the public image of a brand or a celebrity either enter a name , a URl to article or Picture of a handwritten article with a given time period and the website runs a sentiment analysis for you and tells about how much percentage of the articles made online in that time frame reflect a positive image and how many negative. It also successfully detects and ignores fake news.

The result is provided in form of relevant statistics.

Future Scopes

  • Add a user login system to recommend a personalised list of news articles.
  • Add option to insert image of celebrity or brand for sentiment analysis.
  • Improve the accuracy for the ML models used.

Contributors

sceptique's People

Contributors

corrosivelogic avatar mccartney2003 avatar yatharth-2003 avatar yathartharana avatar

Forkers

vaibnandan

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