AI-Assisted News Content Hub Creation
Budget: ₹12,500 – ₹37,500 INR
Project Brief: News Automation System
Project Overview
Title: News Content Hub
Objective: Build an automated system to source, filter, and transform breaking news on topics like geopolitics, sports into custom content for social media (Instagram, Facebook, X, LinkedIn) and a blog, with manual review steps to ensure quality, leveraging AI for efficiency and scalability.
Goals
Aggregation: Collect real-time geopolitics news from trusted sources (e.g., Reuters, BBC).
Content Creation: Use AI to generate platform-specific posts (e.g., 50-word X tweets, 100-word Instagram carousels).
Review Process: Implement two manual reviews (pre- and post-content creation) for accuracy and tone.
Publishing: Automate posting to social platforms via Make.com workflow.
Scalability: Design a lean system that can grow with minimal overhead.
Target Audience
Primary: news enthusiasts, students, and professionals seeking quick, digestible updates.
Platforms: Instagram (visual), Facebook (discussion), X (real-time), LinkedIn (professional), Blog (in-depth).
System Architecture
Tools
NewsAPI (newsapi.org): Aggregates geopolitics news from Reuters, BBC, AP, etc.
n8n: Workflow automation for fetching, filtering, AI content creation, and data management.
Airtable: Centralized storage for articles and generated content, with review status tracking.
Make.com: Connect make.com or through any other way to socials, for example using services like hootsuite.
AI: n8n AI Assistants (chatgpt or Grok/xAI) for content generation; fallback to external APIs if needed.
Data Flow
Source → Filter: NewsAPI fetches articles → n8n filters on specific topics for geopolitics pr sports relevance.
Review 1: Filtered articles → Airtable (Status: “Pending” → “Approved”).
Content Creation: Approved articles → n8n AI generates custom posts → Airtable (Review_Status: “Pending”).
Review 2: Generated content reviewed → Airtable (Review_Status: “Approved”).
Publish: Approved posts → Make.com/hootsuite posts to social platforms.
Project Overview
Title: News Content Hub
Objective: Build an automated system to source, filter, and transform breaking news on topics like geopolitics, sports into custom content for social media (Instagram, Facebook, X, LinkedIn) and a blog, with manual review steps to ensure quality, leveraging AI for efficiency and scalability.
Goals
Aggregation: Collect real-time geopolitics news from trusted sources (e.g., Reuters, BBC).
Content Creation: Use AI to generate platform-specific posts (e.g., 50-word X tweets, 100-word Instagram carousels).
Review Process: Implement two manual reviews (pre- and post-content creation) for accuracy and tone.
Publishing: Automate posting to social platforms via Make.com workflow.
Scalability: Design a lean system that can grow with minimal overhead.
Target Audience
Primary: news enthusiasts, students, and professionals seeking quick, digestible updates.
Platforms: Instagram (visual), Facebook (discussion), X (real-time), LinkedIn (professional), Blog (in-depth).
System Architecture
Tools
NewsAPI (newsapi.org): Aggregates geopolitics news from Reuters, BBC, AP, etc.
n8n: Workflow automation for fetching, filtering, AI content creation, and data management.
Airtable: Centralized storage for articles and generated content, with review status tracking.
Make.com: Connect make.com or through any other way to socials, for example using services like hootsuite.
AI: n8n AI Assistants (chatgpt or Grok/xAI) for content generation; fallback to external APIs if needed.
Data Flow
Source → Filter: NewsAPI fetches articles → n8n filters on specific topics for geopolitics pr sports relevance.
Review 1: Filtered articles → Airtable (Status: “Pending” → “Approved”).
Content Creation: Approved articles → n8n AI generates custom posts → Airtable (Review_Status: “Pending”).
Review 2: Generated content reviewed → Airtable (Review_Status: “Approved”).
Publish: Approved posts → Make.com/hootsuite posts to social platforms.
Related categories:
Engineering
Cloud Computing
Artificial Intelligence
Process Automation
Automation