manya-1511/GreenDropAI

# GreenDropAI 🌾💧 | Drought Prediction & Crop Suggestion System GreenDropAI is an intelligent system that predicts drought likelihood for the next 5 years using historical **annual rainfall**, **drought index**, and **groundwater level** data. It not only forecasts drought severity but also **recommends suitable crops** and **provides alerts in Kannada**, helping farmers make informed agricultural decisions. --- ## 🌟 Features - 🔍 **Drought Forecasting**: Uses machine learning to predict drought percentages for upcoming years. - 💧 **Groundwater-Aware**: Incorporates current and historical groundwater data for enhanced accuracy. - 🌧️ **Rainfall Trends**: Analyzes past rainfall patterns and yearly averages. - 🌾 **Crop Recommendations**: Suggests ideal crops based on predicted water availability and drought severity. - 🌐 **Multilingual Support**: Delivers results and alerts in **Kannada** for regional understanding. - 📊 **Interactive Dashboard**: View predictions, stats, and suggestions via a web app. - 📁 **Data-Driven**: Uses real datasets from rainfall, groundwater, drought indexes, and population. --- ## 🧠 Technologies Used - **Python** (Flask for Web Backend) - **Scikit-learn** (for ML Models like Random Forest) - **Pandas, NumPy** (for Data Processing) - **HTML/CSS + JS** (for frontend) - **Google Translate API or gTTS** (for Kannada support) - **Matplotlib/Plotly** (for data visualization) - **CSV Files** for Rainfall, Groundwater, Population, and Drought Data --- ## 🚀 How to Run 1. Clone this repository: ```bash git clone github.com cd GreenDropAi Install dependencies: pip install -r requirements.txt Run the Flask server: python app.py Open browser and visit: 127.0.0.1