PROTOCOL PRESENTS Mega Hackathon

Your challenge is to build a highly efficient foundation model for satellite imagery, specifically focusing on the Indian landscape. The model must be capable of processing diverse topographical data to accurately classify complex monsoon crops across varying weather conditions.

Key Objectives:

• Develop a data pipeline for acquiring and processing raw satellite feeds.
• Fine-tune a lightweight architecture capable of distinct crop classification (e.g., distinguishing flooded rice paddies from cotton fields).
• Design an intuitive UI to visualize the environmental impact and land-use distribution over time.