https://github.com/ayushmaanfcb/streamlit-app-for-highway-traffic-analysis-from-twitter-api

The streamlit app fetches tweets related to traffic congestion, accidents or roadblocks on providing the name of the city using various models.
https://github.com/ayushmaanfcb/streamlit-app-for-highway-traffic-analysis-from-twitter-api

logistic-regression machine-learning naive-bayes-classifier random-forest-classifier streamlit twitter-api

Last synced: 6 months ago
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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.

• Host: GitHub
• URL: https://github.com/ayushmaanfcb/streamlit-app-for-highway-traffic-analysis-from-twitter-api
• Owner: ayushmaanFCB
• License: mit
• Created: 2022-07-23T18:43:55.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2024-12-01T06:54:16.000Z (almost 2 years ago)
• Last Synced: 2025-08-14T05:37:02.125Z (about 1 year ago)
• Topics: logistic-regression, machine-learning, naive-bayes-classifier, random-forest-classifier, streamlit, twitter-api
• Language: Python
• Homepage:
• Size: 19.5 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# 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



### Workflow

![Workflow](https://github.com/ayushmaanFCB/Streamlit-App-for-Highway-Traffic-Analysis-from-Twitter-API/assets/92968225/95ac8134-f7b4-4f75-8918-e749061c9864)



### Application Overview

![int2001](https://github.com/ayushmaanFCB/Streamlit-App-for-Highway-Traffic-Analysis-from-Twitter-API/assets/92968225/20f14fea-006c-498f-81cb-46acb05c35da)

![int2002](https://github.com/ayushmaanFCB/Streamlit-App-for-Highway-Traffic-Analysis-from-Twitter-API/assets/92968225/c26a28e9-3e82-4eda-a810-ec50e85cada0)

![intt2001-1](https://github.com/ayushmaanFCB/Streamlit-App-for-Highway-Traffic-Analysis-from-Twitter-API/assets/92968225/717a1cdf-d8db-4e7f-9ec2-c11d3703ef8c)

![int2003](https://github.com/ayushmaanFCB/Streamlit-App-for-Highway-Traffic-Analysis-from-Twitter-API/assets/92968225/e95e719e-e458-4506-ad5b-ff8e4c420187)