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The streamlit app fetches tweets related to traffic congestion, accidents or roadblocks on providing the name of the city using various models.

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ayushmaanFCB/Streamlit-App-for-Highway-Traffic-Analysis-from-Twitter-API

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Streamlit App for Highway Traffic Analysis from Twitter API

This project has been developed by Ayushmaan Das (E0121037), a student of B.Tech CSE (AI and ML) of Sri Ramachandra Faculty of Engineering and Technology, SRIHER, Chennai under the guidance of Dr. Jayanthi G and Prof. Ramya M.

The Machine-Learning project comprises of a web-application that enables the users to fetch traffic-related tweets from Twitter API. The twees can be downloaded and multiple algorithms have been used to increase the efficiency and versatility.


Running the application

The repository must be pulled and within the system, a command prompt must be opened through the 'App' folder. The following command must be executed:

  • streamlit run HOME.py

The repository contains the following files/contents:

  • Source code of the web-application
  • Materials used for reviews
  • Presentations
  • Project Report
  • Jupyter Notebooks with sequential coding

Link to the Institute's Project Repository : https://github.com/B-TECH-2021-25-INT200/E-Traffic-Alert-System


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The streamlit app fetches tweets related to traffic congestion, accidents or roadblocks on providing the name of the city using various models.

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