EXTREME WEATHER EVENTS, SUCH AS HURRICANES, CAN SEVERELY DISRUPT AGRICULTURAL SYSTEMS, IMPACTING FOOD PRODUCTION AND LIVELIHOODS. FLORIDA, FOR EXAMPLE, EXPERIENCED EXTENSIVE AGRICULTURAL DAMAGE DURING HURRICANE MILTON, WITH LOSSES TOTALING AN ESTIMATED $2.5 BILLION. TRADITIONAL METHODS FOR ASSESSING SUCH DAMAGE ARE OFTEN SLOW, COMPLEX, AND EXPENSIVE, LIMITING THEIR EFFECTIVENESS IN TIME-SENSITIVE DISASTER RESPONSE EFFORTS. THIS PROJECT AIMS TO ADDRESS THESE CHALLENGES BY DEVELOPING AN AI CONVERSATIONAL PLATFORM THAT ENABLES FARMERS, POLICYMAKERS, AND OTHER NON-EXPERTS TO ASSESS CROP DAMAGE AND MONITOR RECOVERY USING SATELLITE DATA AND ARTIFICIAL INTELLIGENCE. THROUGH THIS INTUITIVE PLATFORM, USERS CAN ASK NATURAL-LANGUAGE QUESTIONS, SUCH AS IDENTIFYING FLOODED AREAS OR COMPARING CROP HEALTH BEFORE AND AFTER A STORM, AND RECEIVE ACCURATE AND TIMELY INSIGHTS. THE SYSTEM ENHANCES SATELLITE IMAGERY TO A RESOLUTION OF ONE METER, PROVIDING HIGHLY DETAILED INFORMATION FOR DECISION-MAKING. BY MAKING ADVANCED TECHNOLOGY ACCESSIBLE AND ACTIONABLE, THIS PLATFORM WILL HELP USERS REDUCE COSTS, IMPROVE RESILIENCE TO EXTREME WEATHER EVENTS, AND SUPPORT SUSTAINABLE AGRICULTURAL PRACTICES IN AFFECTED COMMUNITIES.