News Portal Summarizer

As a part of Summer Internship, We were assigned to work on this Project. I worked as a Back-end developer.

Overview:-

• Developed web app using NLP & Django to summarizes the articles.
• The app fetches articles of different categories from news API and display the summaries using Tf-IDF Algorithm.
• Deployed this model on Heroku platform.

Key Features:-

• Shows important highlights of the news on the home page slider for quick information.
• User can login and save their country preference.
• News are fetched in 12 different languages according to users’ prefilled country preference.
• Website also contains category wise news. some of the categories: Business, Entertainment, Music, Politics, Science, Health, Technology, etc.
• Responsible for all the device.

Tools & Technologies:-

• Django
• NLTK
• Heroku
• MySQL
• BootStrap

Link To Website:-

• WebLink: news-portal-summarizer.herokuapp.com/

Certificate:-