July 2026: AI4Bharat/Anudesh-Frontend reliability improvements for chat prompts and recovery flows. Implemented a bug fix to prevent prompts from disappearing on back navigation by aborting in-flight LLM streams on component unmount and preserving a recovery breadcrumb in localStorage. Ensured this recovery works across both single-LLM and multi-LLM chat components, reducing user confusion and manual refresh needs. Business impact includes smoother user experience, higher reliability, and lower support overhead. Key commit: 364542c649ae64178aeedf5ca4596bf20fdea5da. Technologies demonstrated: React lifecycle management, AbortController usage for streaming LLMs, localStorage-based recovery, cross-component coordination.

June 2026 monthly summary for AI4Bharat/Anudesh-Backend: Delivered real-time streaming for LLM responses via ASGI (SSE) with Uvicorn, added streaming utilities for Google AI Studio and DeepInfra models with chain-of-thought tag filtering, and updated the backend to use Uvicorn for improved concurrency. No major bugs reported this month. The work enhances user experience with real-time LLM interactions and establishes a scalable streaming pathway for external model integrations. Technologies demonstrated include Django ASGI, Server-Sent Events (SSE), Python asyncio, and Uvicorn.