InBrief Backend is a sophisticated news engine designed to aggregate, process, and deliver news in real-time. Built with a focus on high concurrency and bilingual support (Nepali and English), it leverages multiple Large Language Models (LLMs) to automatically generate concise summaries, making news consumption faster and more efficient.

The platform is engineered for scalability, utilizing Redis for advanced caching and WebSockets via Django Channels for instant updates. It features a robust administration portal that allows for fine-grained content management, including source health monitoring and automated trend discovery.

Key features include:

AI-Powered Summarization: Multi-provider integration (OpenAI, Anthropic, DeepSeek) for high-quality, bilingual news briefs.
Real-Time Delivery: WebSocket-based push updates and Firebase integration for instant mobile notifications.
High-Concurrency Architecture: Optimized PostgreSQL indexing (GIN), connection pooling (PgBouncer), and Redis-based throttling.
Dynamic News Aggregation: Automated RSS and web scraping from multiple sources with source health tracking.
Intelligent Trending: Data-driven discovery of trending topics and headline management.
Enterprise-Grade Infrastructure: Automated cloud backups (R2/S3), comprehensive logging, and multi-environment configurations.