Generative AI Hackathon with IBM watsonx

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Gen Matrix

Alishyy

Abbasali786

hamid647

mjawad

Muhammad Bilal

Predicting Agriculture App is a sophisticated, yet user-friendly tool designed to forecast crop yields by analyzing various agricultural factors. This app allows users to input detailed information about their farming conditions, including climate zone, soil type, weather patterns, and farm practices. By providing data such as location, crop type, irrigation methods, and fertilizer usage, the app generates accurate and tailored yield predictions.

Built with Streamlit, the app features an intuitive interface that simplifies data entry and makes the prediction process accessible to both novice and experienced farmers. It leverages a powerful API to analyze the input data and provide insights into potential crop yields, helping users make informed decisions about their farming practices.

Whether you are managing a small garden or a large farm, the Predicting Agriculture App offers valuable predictions that can optimize your yield and improve agricultural outcomes. By considering critical factors such as soil moisture, temperature, and weather conditions, the app supports effective planning and resource management, ultimately contributing to more successful and sustainable farming operations.

An intuitive tool for forecasting crop yields powered by API and built with Streamlit, it offers a user-friendly interface for making informed agricultural decisions.

"Gen Matrix team on Generative AI Hackathon with IBM watsonx Hackathon"

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