maryem012/AI-powered-greenhouse-farming-assistant

n AI-powered greenhouse farming assistant for Tunisian farmers, supporting Tunisian Derja dialect and French with RAG (Retrieval-Augmented Generation) capabilities powered by OpenAI GPT. # 🌾 GREENY - Smart Agriculture AI Chatbot > An AI-powered greenhouse farming assistant for Tunisian farmers, supporting Tunisian Derja dialect and French with RAG (Retrieval-Augmented Generation) capabilities powered by OpenAI GPT. ## ⚠️ Source Code Availability > **Note:** The source code for this project is **not publicly available**. It is protected under a Non-Disclosure Agreement (NDA) with the client and cannot be shared without their explicit consent. This repository serves as a public showcase of the project's features and documentation only. ## 🎯 Overview GREENY is a web-based intelligent chatbot designed specifically for **greenhouse farmers in Tunisia**. It provides expert agricultural advice in their native language (Tunisian Derja) and French, with personalized responses based on their greenhouse profile and uploaded documents. ### Key Highlights - 🗣️ **Native Language Support**: Tunisian Derja (دارجة تونسية) + French + English - 📚 **RAG-Powered**: Retrieves answers from user documents + global knowledge base - 👥 **Personalized**: Adapts advice to greenhouse type, crops, region, and experience - 📎 **Cited Responses**: Every answer includes source citations - 📄 **Document Support**: Upload PDFs, Word documents, and text files - 💬 **Chat History**: Track all conversations - 🔒 **User Authentication**: Secure login and data management ## 🚀 Quick Start ### Prerequisites - **Node.js** 18+ and npm - **Python** 3.10+ - **PostgreSQL** 14+ (optional - can use Firebase) - **API Keys**: OpenAI, Pinecone (free tier) ### Installation (5 minutes) #### 1. Clone the Repository ```bash git clone github.com cd GREENY ``` #### 2. Setup Environment ```bash # Copy environment template and fill in your API keys cp .env.example .env # Edit .env with your credentials ``` #### 3. Start Backend (Terminal 1) ```bash cd backend python -m venv venv venv\Scripts\activate # Windows source venv/bin/activate # macOS/Linux p …