🌱 Project Green Base

AI-Powered Agritech Assistant for Smarter Farming Decisions

Project Green Base is an intelligent agritech solution that empowers farmers, researchers, and agricultural planners to make data-driven crop decisions. By analyzing soil quality, nutrient levels, and weather conditions, it recommends optimal crops tailored to any land size and seasonal pattern.

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🚀 Features

• Soil & Nutrient Analysis
  Evaluates soil composition and nutrient levels to guide fertilization strategies.

• Weather-Aware Crop Recommendations
  Adapts to seasonal and local weather patterns for optimal planting schedules.

• Yield Prediction
  Forecasts crop yield potential using agricultural census datasets and machine learning models.

• Investment Guidance
  Suggests cost-effective nutrient and resource investments to maximize productivity.

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🔮 Upcoming Enhancements

• Pest Risk Alerts
  AI-driven pest outbreak predictions based on environmental and historical data.

• Irrigation Planning
  Smart water management recommendations tailored to crop type and soil moisture.

• Market-Driven Crop Selection
  Integrates market trends to suggest high-demand crops for better profitability.

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🧠 Tech Stack

• AI/ML Frameworks: PyTorch, Scikit-learn
• Data Sources: Agricultural census datasets, weather APIs
• Backend: Node.js, Express
• Frontend: React.js
• Cloud & DevOps: AWS, Docker, CI/CD pipelines

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📦 Installation

git clone https://github.com/your-username/project-green-base.git
cd project-green-base
streamlit run simple_app.py

## A web interface will be running in the localHost server go the the local browser and type http://localhost:5000 the web application will render.