BlogBee’s news feed is a scrollable application where content will come one after another - that is as a list with content preview. If any user searches for a specific topic, the searching result will be shown as a grid content preview (like YouTube). When anyone clicks on a particular content’s preview, then the whole document will be displayed.
3. Introduction
BlogBee is a textual content-based online platform that fetches audio from YouTube videos
and converts them into textual blog/article. Then it will categorize the converted articles based
on the following topics/tags:
� Sports
� Life story
� Science
� Religion
� Technology
� Sociology
� Health
� Politics
� Demography
There will be two types of users:
� Registered users and
� Non-registered users
4. Introduction(Cont.)
� BlogBee’s news feed is a scrollable application where content will come one
after another - that is as a list with content preview. If any user searches for a
specific topic, the searching result will be shown as a grid content preview (like
YouTube). When anyone clicks on a particular content’s preview, then the
whole document will be displayed.
� While reading a particular content/blog, similar types of content (based on the
topics) will be recommended to the user.
� Any user can be able to search content, read content, get recommendations
for similar topic-related content. Registered users will also be able to save
blogs, share, and react to each article.
5. Scope of the project
BlogBee will provide the following services/features:
� Login and Sign up
� Accessibility to any user
� Topic wise categorization of an article
� Searching any video’s textual format from YouTube.
� Youtube Video Link to Content Conversion
� Recommendation
� Save Articles, React and Share options for registered users.
� Searching by a keyword.
6. Scope of the project(Cont.)
The services BlogBee will not provide:
� Only audio to text conversion, not to picture/formula/figures.
� Will not convert videos with a language that is not in English.
� Will not provide any recommendation based on the youtube-channel from which
the video was taken.
Assumptions:
� The user will use English throughout the application for search and other purposes.
� The user will search from the selected 9 topics.
7. Scope of the project(Cont.)
Deliverables:
� BlogBee Web Application
� SRS Documentation
� Final Report
Technologies:
Following technologies will be used:
� ASP.NET
� Python
� YouTube API
8. Motivation
� There are many users who prefer reading a textual blog rather than
listening to a youtube video with the same information. Our motive is to
develop a system that will provide them the opportunity to read the
textual format of a youtube video.
� Recommendation helps the user to find relevant content easily,
that’s why our system will provide this recommendation feature.
� Sometimes users find a topic interesting and want to save the blog to read
in the future. Our system will provide the save option for registered users to
fulfill this need.
� To display the articles in an arranged way we categorize the
articles based on topics. So users will find all the articles on similar
topics together.
� Easily find any information to read the blog rather than see the
whole video
9. Work Plan
We plan to continue our project in the following order:
� Project Initialization & Requirements Collection
� Background Studies
� Project Proposal Preparation
� Learn About Technologies
� SRS Report Documentation
� Mid Term Presentation 1
� Project Implementation
� Mid Term Presentation 2
� Deployment of the Final Project
� Final Report Writing
10. Start Date End Date Description Duration
20-Jan 26 -Jan Project Initialization: Define
Scope
1 week
27 -Jan 2-Feb Background Studies 1 week
3-Feb 5-Feb Project Proposal Preparation 3 Days
6 Feb 10 Feb Learn About Technologies 5 Days
11 Feb 17 Feb SRS Report Documentation 1 Week
18 Feb 24 Feb Mid Term Presentation 1 1 Week
25 Feb 27 March Project Implementation 4 Weeks
27 March 30 March Mid Term Presentation 2 3 Days
31 March 3 April Deployment of the Final Project 4 Days
4 April 7 April Testing 4 Days
8 April 11 April Report writing 4 Days
28 April 30 April Final Presentation 3 Days
Work Plan with timeline