emonrezabd / support-system-for-women-and-children

This repository contains the implementation described in "Developing a Machine Learning Based Support System for Mitigating the Suppression Against Women and Children"

Developing a Machine Learning Based Support System for Mitigating the Suppression Against Women and Children

Reza et al. 2021 5th International Conference on Electrical Engineering and Information Communication Technology (ICEEICT)

This codebase is created for our undergrad database sessional project purpose. However, codes are modified and new concepts are introduced for our submission to ICEEICT 2021.

Read the article

The repository is organized as follow:

• Tablescontains all the schemas needed for web application
• HTMLcontains all the HTML files required
• CSScontains all the CSS files used
• JScontains all the JS files
• PHPcontains all the PHP files used for connection and CRUD operations
• SQLcontains all queries for data manipulation etc.
• imgcontains all images used in web app
• crimePedictioncontains python code used for building machine learning models and data analysis
• readme.mdcontains the description of this project

Environment Setup

For develop the web app, these installations are needed-

1. Oracle Express Edition: oracle 11g XE is recommended
2. Instant Client: instantclient_12_1 is recommended
3. Xampp: 32 bit xampp is recommened
4. Text Editor or IDE: Sublime text or VS code etc.

Connection To Oracle DB

1. Create a .php file (i.e. connect.php)
2. write this code snippet for connect: $conn = oci_connect('user name', 'password', 'localhost/XE'); N.B: the username and pass is the database credentials, it means the user name and pass you have provided for 2nd phase login in Oracle express
3. Start apache server in xampp
4. run the file in browser localhost:8080/folder name/file name

No framework is used here. This is a simple and small scalable project which can be implemented within short time.

Cite Us

If you found our research interesting, cite us.

@inproceedings{reza2021developing,
title={Developing a Machine Learning Based Support System for Mitigating the Suppression Against Women and Children},
author={Reza, Md Rokonuzzaman and Mannan, Fabiha Mukarrama Binte and Barua, Dhrubo and Islam, Shafayetul and Khan, Nafiz Imtiaz and Mahmud, Sharifa Rania},
booktitle={2021 5th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT)},
pages={1--6},
year={2021},
organization={IEEE}
}