Fish Farms have become important in the modern life as they have a huge contribution to the economy and ensures a reliable supply and wide distribution of fish globally. Fish farming is a tedious process that requires a lot of labor work. Lack of monitoring leads to fish loss so, monitoring fish farms automatically would lower the risks of fish loss. Our project aims to automatically detect and alert fish farmers on any anomalies in the fish ponds like detection of fish abnormal behaviors and toxic ammonia levels in water which lower the risks of fish loss in fish farms and increase fish production.
