RootRanger 🌱

RootRanger is an innovative application designed to help users grow their own indoor and outdoor plants, leveraging the power of the Google Gemini AI API. Whether you're a beginner or an experienced gardener, RootRanger provides personalized, real-time advice to guide you through every step of your plant's growth journey.

Table of Contents

• Features
• Getting Started
• Technologies Used
• Installation
• Usage
• Team Members

Features

• Google Gemini AI Integration: Get expert advice on plant care and maintenance, customized to your needs.
• User Authentication: Secure login and registration using Firebase Authentication.
• Conversation History: All your interactions and advice are stored securely in the Firebase database, allowing easy access to past conversations.
• Responsive Design: Developed with Next.js and Bootstrap, ensuring a seamless experience across all devices.
• Deployment on Vercel: Fast, scalable, and reliable deployment for global accessibility.
• Upcoming Feature - RAG (Retrieval-Augmented Generation): Future enhancements to provide even more accurate and tailored information.

Getting Started

Follow these instructions to get a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

• Node.js: Make sure you have Node.js installed on your machine.
• Firebase Account: You'll need a Firebase account for authentication and database services.
• Google Gemini API Access: Ensure you have access to the Google Gemini API.

Installation

1. Clone the repository:

   git clone https://github.com/your-username/rootranger.git
   cd rootranger

2. Install dependencies:

   npm install

3. Set up Firebase:

   • Create a new Firebase project.

   • Set up Authentication and Firestore Database in your Firebase console.

   • Create a .env.local file in the root directory and add your Firebase configuration:

     NEXT_PUBLIC_FIREBASE_API_KEY=your_api_key
     NEXT_PUBLIC_FIREBASE_AUTH_DOMAIN=your_auth_domain
     NEXT_PUBLIC_FIREBASE_PROJECT_ID=your_project_id
     NEXT_PUBLIC_FIREBASE_STORAGE_BUCKET=your_storage_bucket
     NEXT_PUBLIC_FIREBASE_MESSAGING_SENDER_ID=your_messaging_sender_id
     NEXT_PUBLIC_FIREBASE_APP_ID=your_app_id

4. Run the development server:

   npm run dev

   Open http://localhost:3000 to view the app in your browser.

Usage

• Sign Up / Sign In: Users can sign up and sign in using Firebase Authentication.
• Start a Conversation: Interact with the AI chatbot to receive personalized plant care advice.
• View Conversation History: Access past conversations stored in the Firebase database.

Technologies Used

• Next.js: React framework for server-side rendering and static site generation.
• Bootstrap: Front-end component library for responsive design.
• Firebase: Backend-as-a-Service for authentication, real-time database, and hosting.
• Google Gemini AI API: Provides AI-driven plant care advice.
• Vercel: Deployment platform for fast and scalable hosting.

Team Members

• [Fatima Riaz]
• [Descartes Tuyishime]
• [Ahmed Handulle]