https://github.com/mugunthanraju/emergency-tweets

https://github.com/mugunthanraju/emergency-tweets

Last synced: 4 days ago
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• Host: GitHub
• URL: https://github.com/mugunthanraju/emergency-tweets
• Owner: Mugunthanraju
• Created: 2020-11-21T13:06:09.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-08-01T16:23:56.000Z (over 3 years ago)
• Last Synced: 2023-12-26T13:34:27.104Z (11 months ago)
• Language: JavaScript
• Size: 7.32 MB
• Stars: 1
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Emergency-Tweets

![Emergency-Tweets](https://socialify.git.ci/Mugunthanraju/Emergency-Tweets/image?font=KoHo&forks=1&language=1&logo=https%3A%2F%2Fexternal-content.duckduckgo.com%2Fiu%2F%3Fu%3Dhttps%253A%252F%252Ftse2.mm.bing.net%252Fth%253Fid%253DOIP.rU1ROiYQUyfl4wR7xvAy3QHaEc%2526pid%253DApi%26f%3D1&owner=1&pattern=Brick%20Wall&stargazers=1&theme=Dark)

### Description :-

**Many innocent people could not get emergency help when they are facing any sort trouble from the following :**

    1) Health

    2) Threat

    3) Nature Calamity

**This is because their message may not reach or get notified to respective departments. So we came up with a solution which will over come this problem using a greatest networking service provider in the world `Twitter`.**

We achived it by adding an extra button on `Sidebar of Twitter` Clone, by clicking button it directs to a webpage where we can see all **Emergency Tweets** in three categories.



### Tech Stack :

1) React Js 

2) Django

3) Twitter API

4) Sckit-Learn 

5) NLP

6) Watson NLU API



**The design is simple: We hit the Twitter Search API to get the tweets using queries selected after a thoughtful process. The hashtags are shown on the right, and can be displayed directly.**

*For flagging and color coding tweets we have a combined model.*

**1) Sarcasm Detector finds out if a tweet is sarcastic, because we all know people like beating around the bush on Twitter (Thanks @Kaitlyn for the idea).**




**2) Fear Detector finds out if the person is scared by using IBM Watson NLU API.**




**3) If the tweet is not sarcastic and has fear elements, then the NLP model classifies those tweets as non-serious, police, or hospital related.**



### Authored by : 

    1) Ekrem Guzelyel (ML, Backend)

    2) Mugunthan Raju (Front-end, Database)

    3) Mert Can Bilgiç (Front-End)

    4) Soumya Vemuri (Full-Stack)

    5) Pranav Anand (ML, Backend)