An AI approach for goat breed prediction and price estimation
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Date
2025
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Publisher
UMT.Lahore
Abstract
The project aim is to remove the gap between farmhouses owner and customers by connecting them through an innovative online platform. The proposed system will register different farmhouse owners and customers by connecting them through the development of an innovative online platform. If one wants to sell animals and the other wants to buy, the platform will provide innovative solutions to both. The buyers and vendors ill be connected to bridge the gap between them and sells products and alal animal exchange, especially on Eid-ul-Adha. The buyers will be rovided with a smart Convolutional Neural Network and a machine- learning model. One will be trained to identify breeds of goats. A custom orpus of goat images from different animal markets will be made and a NN ill be trained to achieve desirable results. The second Model will be trained n goat prices with their features like breed, color, and weight. The gression Model will be used to achieve this. For the overall platform, ERN Stack will e used to design interactive designs and functionalities. The project will not nly simplify dairy-related issues but will also be a feasible solution in romoting trading between goat products and Buyers.