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Gemval operates in several major stages: collecting information about the current prices of gemstones, training their model with machine learning methods, predicting prices based on user input with the trained model, and providing insights based on statistical analysis. Data collection Gemval regularly add new online stores to their tracking list, which means that their database of gemstone pricing is steadily expanding. They ensure that only reasonable offers are entered into the database to maximize accuracy. The prediction model is unaffected by specimens whose prices are clearly out of the ordinary because they are rejected. Based on the specific factors that influence gem pricing—weight, color, clarity, cut, and shape they are utilizing supervised machine learning to make predictions about gemstone values. The system is able to generalize what it learned from the data it collected, and it uses this knowledge to predict values for new user-supplied input data.