RSS Feed Aggregation and Categorization Web Application
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Post a project like this$100
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⭐UK's no.1 Graphic Designer ⭐| Expert 2D/3D Render | Video Animator | Web Developer.
London
94873241046046611011457527048893081335127040
Description
Experience Level: Entry
Objective:
To develop a web application that captures RSS feeds from multiple sources, extracts comprehensive data including title, article body, images, source, author, etc., categorizes the content, and generates its own RSS feed based on these categories.
Functional Requirements:
RSS Feed Capture:
The application shall integrate with various sources to capture RSS feeds.
Upon capturing, the application shall retrieve complete data from the feed, including title, article body, images, source, author, and any additional relevant information.
Data Extraction:
The captured RSS feeds shall undergo parsing to extract relevant information from each feed entry.
Information extracted shall include but not limited to:
Title of the article.
Body of the article.
Images associated with the article.
Source of the article (URL or name).
Author(s) of the article.
Publication date/time.
Any other metadata provided by the feed.
Categorization:
The application shall categorize the extracted content into various predefined or dynamically generated categories based on content analysis.
Categories may include but are not limited to:
News, Technology, Sports, Finance, Entertainment, etc.
The categorization process should utilize techniques such as keyword analysis, machine learning algorithms, or user-defined rules to assign content to appropriate categories.
RSS Feed Generation:
Once the content is categorized, the application shall create its own RSS feed(s) for each category.
The generated RSS feeds shall include the categorized content along with relevant metadata.
Each RSS feed should conform to standard RSS specifications and be accessible via a unique URL.
Non-Functional Requirements:
Performance:
The application shall handle a large volume of RSS feeds efficiently, ensuring minimal latency in capturing, processing, and categorizing the content.
Response time for user interactions shall be optimized to provide a seamless browsing experience.
Scalability:
The architecture of the application should be designed to scale horizontally to accommodate increasing numbers of RSS feeds and users.
Load balancing mechanisms should be implemented to distribute incoming traffic across multiple servers.
Reliability:
The application shall be robust and resilient to failures, ensuring continuous operation even in the event of hardware or software failures.
Data integrity measures shall be in place to prevent data loss or corruption.
Security:
The application shall implement authentication and authorization mechanisms to control access to sensitive functionalities and data.
Data transmission and storage shall be encrypted to protect against unauthorized access or tampering.
Assumptions:
The RSS feeds from various sources are accessible via standard HTTP protocols.
The application will not alter the original content of the RSS feeds, but rather create its own feeds based on categorized content.
To develop a web application that captures RSS feeds from multiple sources, extracts comprehensive data including title, article body, images, source, author, etc., categorizes the content, and generates its own RSS feed based on these categories.
Functional Requirements:
RSS Feed Capture:
The application shall integrate with various sources to capture RSS feeds.
Upon capturing, the application shall retrieve complete data from the feed, including title, article body, images, source, author, and any additional relevant information.
Data Extraction:
The captured RSS feeds shall undergo parsing to extract relevant information from each feed entry.
Information extracted shall include but not limited to:
Title of the article.
Body of the article.
Images associated with the article.
Source of the article (URL or name).
Author(s) of the article.
Publication date/time.
Any other metadata provided by the feed.
Categorization:
The application shall categorize the extracted content into various predefined or dynamically generated categories based on content analysis.
Categories may include but are not limited to:
News, Technology, Sports, Finance, Entertainment, etc.
The categorization process should utilize techniques such as keyword analysis, machine learning algorithms, or user-defined rules to assign content to appropriate categories.
RSS Feed Generation:
Once the content is categorized, the application shall create its own RSS feed(s) for each category.
The generated RSS feeds shall include the categorized content along with relevant metadata.
Each RSS feed should conform to standard RSS specifications and be accessible via a unique URL.
Non-Functional Requirements:
Performance:
The application shall handle a large volume of RSS feeds efficiently, ensuring minimal latency in capturing, processing, and categorizing the content.
Response time for user interactions shall be optimized to provide a seamless browsing experience.
Scalability:
The architecture of the application should be designed to scale horizontally to accommodate increasing numbers of RSS feeds and users.
Load balancing mechanisms should be implemented to distribute incoming traffic across multiple servers.
Reliability:
The application shall be robust and resilient to failures, ensuring continuous operation even in the event of hardware or software failures.
Data integrity measures shall be in place to prevent data loss or corruption.
Security:
The application shall implement authentication and authorization mechanisms to control access to sensitive functionalities and data.
Data transmission and storage shall be encrypted to protect against unauthorized access or tampering.
Assumptions:
The RSS feeds from various sources are accessible via standard HTTP protocols.
The application will not alter the original content of the RSS feeds, but rather create its own feeds based on categorized content.
Laksh L.
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15 May 2024
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