01 // The Problem Statement
Low-connectivity agricultural regions lack accessible real-time crop disease diagnosis, local market pricing intelligence, and severe weather alert mechanisms.
02 // The Technical Approach
Engineered a multilingual PWA leveraging an agentic Planner-Executor-Validator architecture powered by Vertex AI, SWIN Transformer, and LSTM forecasting.
03 // Key Failures & Challenges
Ensuring reliable offline functionality in rural areas with spotty connectivity and managing multi-modal data streams for real-time disease detection.
04 // Engineering Insights & Learnings
Mastered offline-first web design with IndexedDB AES-256 encryption, background sync workers, and agentic orchestration.
05 // Future Scaling & Improvements
Integrate drone imagery data streams and expanded regional language voice synthesis.