It is a web app that provides accurate crop recommendations based on rainfall, temperature, and other parameters. It helps farmers maximize yield by determining suitable crops. It also offers crop price prediction, enabling informed decisions on when to sell their crops to obtain maximum profit. Built with Angular, Flask, and MongoDB.
javascript css python html bootstrap flask data-science machine-learning angular rest-api scikit-learn pandas data-engineering data-analysis flask-mail webapplication flask-pymongo mongodb-atlas croprecommendations croppriceprediction
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Updated
Sep 2, 2024 - HTML