🌾 Context This dataset is structured to predict the most suitable crop to grow based on several agro-climatic parameters. It is typically used in precision agriculture and machine learning applications aimed at supporting farmers, agricultural advisors, and policymakers.

Features (Inputs):

N – Nitrogen content in the soil (in mg/kg) P – Phosphorus content in the soil (in mg/kg) K – Potassium content in the soil (in mg/kg) temperature – Average temperature in °C humidity – Average relative humidity in % ph – Soil pH value rainfall – Rainfall in mm Label (Output):

label – The crop most suited to the given conditions (e.g., rice, maize, cotton, etc.)

Website created by sing html, CSS, flask, and render cloud used to deploy.


**Smart Crop Recommendations:** Utilizing a trained ML model to predict the most suitable crop based on soil nutrients, temperature, humidity, pH, and rainfall. 

🌟 **Key Highlights** 
- **End-to-End Workflow:** Covering data preprocessing, exploratory data analysis (EDA), machine learning modeling, and a live, shareable web application. 
- **Interactive Analysis Dashboard:** Dive into detailed data visualizations and insights conveniently consolidated in one place. 
- **Dynamic Data Visuals:** Engaging charts displaying crop counts, climate statistics by crop, and top crops for specific conditions. 
- **User-Centric Design:** Featuring a responsive grid, theme flexibility (light/dark/grey modes), and a sticky prediction sidebar for an optimal user experience. 
- **Free & Global Access:** Cloud deployed on Render, ensuring universal accessibility from any device at any time. 

🔗 **Link:** [Crop Predictor Web App](https://lnkd.in/gtiebuyn) 

🚀 **Tech Stack** 
- **Python & Pandas:** Facilitating data wrangling and pipeline creation. 
- **Flask:** Empowering a swift and adaptable web backend. 
- **Matplotlib:** Crafting clear and customizable charts for enhanced data visualization. 
- **Machine Learning (scikit-learn):** Providing precise crop predictions. 
- **HTML & CSS:** Crafting a contemporary and responsive dashboard user interface. 
- **Render:** Enabling seamless cloud hosting and sharing capabilities. 

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