Automated Extraction of Multiple News

News provides useful information about the current situation. In the era of information and technology, people use different websites to get different news. This raised the need of system AEMN (Automated Extraction of Multiple news). It will collect information from multiple online

Project Title

Automated Extraction of Multiple News

Project Area of Specialization

Artificial Intelligence

Project Summary

News provides useful information about the current situation. In the era of information and technology, people use different websites to get different news. This raised the need of system AEMN (Automated Extraction of Multiple news). It will collect information from multiple online platforms and publish them on single end-point automatically using Artificial Intelligence. It also shows relevant news to user. Moreover, it classify news on the basis of different category, news will be added to the relevant category.

To avoid plagiarism, the source of the news will be provided. AEMN in coming world is emerging rapidly as everyone wants to see authentic and similar information without searching too much or consuming time. In order to make the system more interesting a different section will be added such auto classification, similar/relevant news, and most trending news from different platforms without any manual effort, system will be using Machine Learning algorithms and deep learning neural networks to resolve all manual settings and searching.

Project Objectives

In the age of automation and technology, everything around us is being automated for the ease and comfort, electronic media became an vital part of our lives and people are more connected than ever, they want to know about the current situation and most latest news, using manual approach is impractical and tedious. This arise the need of user friendly and responsive system which will automatically extract the news from different sources, automatically classify the news, show similar news, and show the most trending news.

AEMN will be an amazing break-thorough in order to bring authentication, swiftness, easiness and efficiency in the world of news. The concept of multi-source news already exists, but it is not much efficient.

AEMN does not need manual uploading of different news, does not need manual classification, and does not require manually updating of top trending news.

The interesting part of AEMN is that it does not need manual inspection of reviews provided by user to improve the system.

Project Implementation Method

AEMN is web-based system which help people to read the news of different categories from multiple sources. AEMN system is based on extraction the news from multiple news-websites such as dunya news, express news, ary news, bol news and jang news. News will be extracted using the technique of scraping and machine learning algorithm and deep neural networks will classify the news based on their categories and store the instances in database. The extracted instance will be compared with the existing instances in database if the instance exist in database it would be discard. Beside extraction of regular news AEMN will extract the most trending news from different websites, all the extracted news will be compared with each other to see if they are similar to each other or not. If the record from news-website matches with at least three records from different news-websites it would be added to database and the result will be reflected the trending section on the main page.

AEMN system will automatically show similar news to user for instance. User is reading politics news, as he/she clicks on the news to read, in the bottom section similar news to politics will be displayed automatically or if user is reading sports news in the bottom section similar news to sports will be automatically displayed and so on for categories.

AEMN provide the facility to search for particular news based on the keyword user provide. The user will type the keyword in the search-box, AEMN will search in the database if the news exist it will show the heading of news to user.

AEMN also provide the review section to user in the similar news section by just providing either review of like or dislike.

AEMN will provide the admin panel. The admins will monitor the website, the admin will also be able to check the manual classification of news.

AEMN is web based application and uses Artificial Intellegence to resolve problems, mostly algorithms are designed in Python, so, python language is used in this developement. Front-end is designed in Python framework Django including HTML/CSS. Back-end is implemented mySQL.  It will extract tons of news from multiple sources to organize those news on large scale. In order to categorize news, AEMN needs to be trained using technique of Machine Learning and Deep Learning neural networks. In order to train the AEMN a lot of data is required, data collection will consume more time than actual implementation. To improve the quality.

Benefits of the Project

In Pakitan, National Urdu news websites are the only authentic source of providing news to citizens. Such as Ary new, Geo news, Dunya news, Express news etc. They manage the website manually, manually upload the content, manually update the content when needed, manually categorize the news.

In Pakistan no such system exist for Urdu website that automatically manage all the things mentioned above.

Benifits are:

1: Automatically extract the most authentic news.

2: Automatically classify and categorize the news.

3: Automatically extract and upload the most trending news.

4: Show only related and similar news to user, whatever he/she is interested in.

5: Provide national and international news in national language Urdu only.

Technical Details of Final Deliverable

1: Work breakdown structure.

2: Project Charter

Deliverables

• Project Proposal

• Project Report 1

• Initial Design

• Website Final Design

• Website deployment

Scope

 

AEMN will collect news from multiple online platforms and publish them on single end-point. It will also show similar news to user. Moreover, it will categorizes news on the basis of different category, news will be added to the relevant category automatically. Included in this project will be recommendations for a maintenance plan, including how to provide and update the content, and training on maintaining the web pages.

Project Milestones

 

• Project Planning

• Project Proposal

• Data Collection

• Project Report

• Trained Machine Learning model

Final Deliverable of the Project

Software System

Core Industry

Media

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Industry, Innovation and Infrastructure, Partnerships to achieve the Goal

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com