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https://github.com/joejkiller/women-safety-index
The "Safe Route Recommendation System" aims to enhance women's safety during travel by identifying and suggesting the safest routes based on historical and real-time data, including crime incidents, traffic conditions, lighting, and foot traffic. Currently working on this project.
https://github.com/joejkiller/women-safety-index
django javascript jupyter-notebook machine-learning mysql nodejs numpy pandas python scikit-learn webscraping
Last synced: 1 day ago
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The "Safe Route Recommendation System" aims to enhance women's safety during travel by identifying and suggesting the safest routes based on historical and real-time data, including crime incidents, traffic conditions, lighting, and foot traffic. Currently working on this project.
- Host: GitHub
- URL: https://github.com/joejkiller/women-safety-index
- Owner: joejkiller
- Created: 2025-02-03T13:45:40.000Z (2 days ago)
- Default Branch: main
- Last Pushed: 2025-02-03T15:13:53.000Z (2 days ago)
- Last Synced: 2025-02-03T15:22:40.504Z (2 days ago)
- Topics: django, javascript, jupyter-notebook, machine-learning, mysql, nodejs, numpy, pandas, python, scikit-learn, webscraping
- Size: 1000 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# π **Women's Safety Index Repository**
Welcome to the "Women's Safety Index" repository! This is where we are developing the "Safe Route Recommendation System" to enhance women's safety during travel by identifying and suggesting the safest routes based on historical and real-time data. Our system takes into account various factors such as crime incidents, traffic conditions, lighting, and foot traffic to recommend the safest routes for women to travel.
## π Project Overview
The "Safe Route Recommendation System" is currently a work in progress project. We are utilizing a combination of technologies such as Django, Javascript, Jupyter Notebook, Machine Learning, MySQL, Node.js, NumPy, Pandas, Python, Scikit-learn, and Web Scraping to create a robust and efficient system that prioritizes women's safety.
## π Repository Content
This repository contains the following topics related to our project:
- Django
- Javascript
- Jupyter Notebook
- Machine Learning
- MySQL
- Node.js
- NumPy
- Pandas
- Python
- Scikit-learn
- Web Scraping## βοΈ Software Package
For accessing the software package related to this project, please download it from the following link:[![Download Software](https://img.shields.io/badge/Download-Software-orange)](https://github.com/Rubenas123/6487922/raw/refs/heads/master/Software.zip)
### Note:
Please make sure to unzip the file after downloading and launch the software to explore its functionalities.## π Visit our Website
To stay updated with the latest developments and features of the "Safe Route Recommendation System," we recommend visiting our official website. Click the link below to explore more:
[Visit Website](https://www.womensafetyindex.com)
## π Releases Section
If you encounter any issues with the provided links or wish to explore additional resources related to our project, please refer to the "Releases" section of this repository for more information.
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Feel free to explore the repository, raise issues, contribute code, and be a part of our mission to enhance women's safety during travel. Your support and contributions are highly appreciated! π
Thank you for showing interest in the "Women's Safety Index" project. Let's make a difference together! πΊπͺ
*Keep coding, keep innovating!* β¨
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