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We propose an Intelligent Crop Recommendation and Yield prediction system using Machine Learning that predicts crop suitability by factoring all relevant data such as temperature, rainfall, location, and soil condition. The Yield is predicted based on the parameters of area of land available, agricultural season and the past observations of yield .

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crop-recommendation machine-learning

crop_recommendation_using_machine_learning's Introduction

Hi there I'm Daniel ๐Ÿ‘‹

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Hi there, I'm a tech-savvy BTech student seeking a internship!

Welcome to my Github page! I'm a passionate and motivated student at PESU College, Bangalore, eager to enhance my skills and gain hands-on experience in the field of technology. As a quick learner and a problem solver, I believe in taking calculated risks to achieve my goals and create impactful projects.

At heart, I'm a team player who thrives in a collaborative environment. I'm always excited to work with like-minded individuals who are passionate about technology and share a common goal of creating innovative solutions that make a difference.

I'm eager to find an internship opportunity where I can apply my skills and knowledge to work on impactful projects. Whether it's software development, data analysis,Database Management Systems or machine learning, I'm ready to roll up my sleeves and dive in.

My Github page is a testament to my skills and interests. You'll find a variety of projects that demonstrate my ability to code in languages such as Python,Java,C++, Javascript,PHP,MySQL and C. I've worked on projects ranging from building websites to creating machine learning models and analyzing data.

I'm excited to join a team where I can contribute my skills, learn new things, and make an impact in the field. So if you're looking for a motivated and skilled intern who's ready to take on new challenges, please don't hesitate to get in touch. Let's create something awesome together!

๐Ÿ’ป Tech Stack:

AWS Bootstrap Code-Igniter NodeJS Jenkins MongoDB MySQL C C++ CSS3 Java HTML5 JavaScript PHP Python Keras NumPy Pandas PyTorch scikit-learn TensorFlow LINUX Arduino Docker Spring Flask Express.js

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