skillenza-com / MishMash-India-2020

MishMash hackathon is India’s largest online diversity hackathon. The focus will be to give you, regardless of your background, gender, sexual orientation, ethnicity, age, skill sets and viewpoints, an opportunity to showcase your talent. The Hackathon is Live from 6:00 PM, 23rd March to 11:55 PM, 1st April, 2020
2 stars 12 forks source link

Elite - Fake News Detection on Social Media - Ed-Tech #157

Open subhamsatpathy opened 4 years ago

subhamsatpathy commented 4 years ago

ℹ️ Project information

  1. You can select any one theme from - Ed-Tech
  1. Project Name - Fake News Detection on Social Media

  2. Short Project Description - . A recent surge of researching in this area has aimed to address the key issues using methods based on machine learning, deep learning, feature engineering, image and video analysis, together with newly created data sets and web services to identify deceiving content.

  3. Team Name - Elite

  4. Team Members - Soumi Ghosh (https://github.com/soumi2019), Lokesh Dandia (https://github.com/10lokesh2k), Pratik Sinha (https://github.com/beasthunter758), Subham Subhamaya Satpathy (https://github.com/subhamsatpathy)

  5. Demo Link - https://drive.google.com/open?id=10DP6994Br9qN_PhIvG8CEF0wf1nRyiyD

  6. Repository Link -
    https://github.com/soumi2019/fakenewsdetection-whatsapp-bot

Alternative - https://drive.google.com/drive/folders/1l90QDTRpv8qGLnkKZqWlIYpYVKVL3U9H

  1. Presentation Link - https://drive.google.com/open?id=17GsukcGYLzUKo0Ai4AjNJ-kvnwYsci_6

  2. Azzure Services Used - NA

🔥 Your Pitch

Fake News has been around for decades. With the advent of Internet and widespread usage of social media in modern times, the detection of media-rich fake news has been a popular topic in the research community. A recent surge of researching in this area has aimed to address the key issues using methods based on machine learning, deep learning, feature engineering, graph mining, image and video analysis, together with newly created data sets and web services to identify deceiving content. Our project aims to use machine learning and Natural Language Processing techniques to detect fake news based on the text content and sample images.

🔦 Any other specific thing you want to highlight?

(Optional)

✅ Checklist

Before you post the issue: