Abstract:
A cow is a crucial daily supply of food, nutrition, much-needed money, and nitrogen-rich manure for regenerating soils and other uses. They also take on many different societal roles. The main reason cows are raised as livestock is for their hides, which are used to make leather, milk, and food. Therefore, it follows that it is essential for everything to understand the value of a cow. Price prediction is difficult due to the intricacy of price fluctuation in the market. It also has a significant socioeconomic value. However, in Bangladesh, where we are from, the majority of people live in rural areas. Since they live in villages, agriculture is their main source of income. Cows are the animal that is domesticated in the village's homes the most frequently as a result. However, Bangladesh, a country where Muslims make up the majority, has a high demand for cows especially, in Eid al-Adha. And also dairy cows have a big economic impact. Cows have a big influence on the economy. Those who are unfamiliar with the price of cows are regularly taken advantage of while purchasing and selling them. Knowing the price of cows before selling or buying may be advantageous as a result, and the possibility of fraud will be reduced. Experts in machine learning have previously done a substantial amount of work on price forecasts, including stock and property price predictions, but cow price predictions are quite uncommon. As a result, the goal of this work is to predict how prices using a range of important factors. The price of cows will be predicted in this study utilizing a variety of attributes as well as algorithms. A certain number of people who are unaware of the price of cows will benefit from this and can buy cows at a predicted price. People will benefit from knowing the cow’s genuine predictive price thanks to this study.
