This project utilizes drones equipped with cameras to capture images of crops, which are then analyzed in real-time using Redis and cloud technologies. The analysis is performed by various components such as RedisGears, RediStreams, and RedisAI, which work together to calculate the percentage of different categories in the images captured by the drone. The project also includes a backend system built using microservices that perform data inspection and calculation of sum assured and premium. Additionally, a frontend app is created to provide a user interface for crop insurers to access the real-time data, enabling them to scan, monitor, and assess crop yields from their office.