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Development of Privacy-Focused AI-Powered News Aggregation Platform

inoxoft.com

Information technology

Media

Global News Accessibility Challenges

Existing news platforms suffer from language barriers, media bias, and privacy concerns, limiting users' ability to access timely, accurate, and diverse global information while maintaining personal data security.

About the Client

Innovative AI solutions provider focused on privacy-centric, open-source tools for global information accessibility

Platform Development Goals

Create cross-platform AI-driven news aggregator with multilingual capabilities
Implement automated translation and summarization system
Ensure privacy-first architecture with minimal data collection
Establish reliable daily content update pipeline by 6am Eastern time
Aggregate diverse news sources across multiple categories and regions

Core System Capabilities

19-language AI translation and summarization engine
Automated daily news updates with global source integration
Bias-mitigation through multi-perspective source aggregation
Privacy-preserving architecture (no cookies, minimal JavaScript)
Dynamic language preference management system

Technology Stack Requirements

Python

Anthropic AI

Cohere

Mistral AI

OpenAI

Together.ai

System Integration Needs

News API integrations for global sources
AI model APIs for translation/summarization
Static site generation framework
Timezone-aware scheduling system

Operational Requirements

High-availability static architecture
Sub-200ms API response times for core functions
GDPR-compliant data handling
Horizontal scalability for global traffic
99.9% uptime SLA for daily updates

Expected Business Outcomes

Enables global audience access to unbiased news through automated multilingual content delivery while maintaining strict privacy standards, potentially increasing user engagement by 40% through timely, personalized news consumption across devices.