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Development of AI-Powered Social Media News Platform with Personalized Feed and Content Moderation
  1. case
  2. Development of AI-Powered Social Media News Platform with Personalized Feed and Content Moderation

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Development of AI-Powered Social Media News Platform with Personalized Feed and Content Moderation

artkai.io
Advertising & marketing
Information technology
Startups

Current Challenges in Social News Consumption

Existing news platforms suffer from repetitive content from unverified sources, disorganized news delivery mechanisms, and cluttered user interfaces that hinder effective content discovery and user engagement.

About the Client

A tech startup combining marketing expertise with AI-driven media solutions to disrupt traditional news consumption models

Project Goals for AI-Powered News Platform

  • Create adaptive AI algorithms for personalized news curation
  • Implement automated content verification and moderation systems
  • Develop scalable microservices architecture for global expansion
  • Achieve seamless cross-platform user experience across iOS/Android/web

Core Platform Capabilities

  • Interest-based news category selection
  • AI-optimized content recommendation engine
  • Integrated video/audio editing tools
  • Real-time community discussion forums
  • User reporting system for policy violations
  • AI-supervised content moderation dashboard
  • Multi-platform analytics tracking user engagement

Technology Stack Requirements

React Native for cross-platform mobile development
Node.js/Nest.js for backend microservices
Python for AI/ML components
AWS cloud infrastructure (Lambda, S3, RDS)
MongoDB/PostgreSQL for hybrid data storage
GraphQL for API orchestration

Critical System Integrations

  • Hive AI content moderation API
  • AWS MediaConvert for video processing
  • Real-time notification services
  • Third-party analytics platforms
  • Payment gateway for premium features

Operational Requirements

  • Horizontal scalability for 1M+ concurrent users
  • Sub-200ms latency for feed updates
  • Enterprise-grade data encryption
  • 99.95% system availability SLA
  • Automated content moderation with human oversight

Anticipated Business Impact

Expected to increase user retention by 40% through personalized content delivery, reduce moderation costs by 60% via AI supervision, and achieve 200k active users within first 6 months post-launch while maintaining 99.9% platform reliability.

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