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This project is a step towards precision agriculture, where our product acts as an assistant for a farmer. This involves nine functionalities related to agricultural practices, ranging from weed detection, disease detection, crop recommendation, and yield prediction, which farmers need on a daily basis. We are also working on including drones as a part of the project. This project was created using ML and CNN algorithms for all the functionalities and Flask as a model deployment tool for user interfaces.

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