Bloom AI: Smart Plant Monitoring System

Bloom AI is an innovative plant health monitoring system that combines IoT sensors, AI, and data visualization to help you take better care of your plants.

Features

• Real-time Plant Monitoring: Track temperature, humidity, soil moisture, and light levels.
• AI-powered Plant Assistant: Get answers to your plant care questions.
• 3D Plant Visualization: View your plant's health status in an interactive 3D model.
• Data Analytics: Visualize trends and patterns in your plant's health data.
• Image Analysis: Upload plant images for AI-powered health assessment.

Technology Stack

• Frontend: Next.js, React, TypeScript
• Backend: Node.js, FastAPI, ThingSpeak
• IoT: Arduino, ESP8266/ESP32
• APIs: ThingSpeak, Groq, Deepgram
• Data Visualization: Recharts
• 3D Rendering: Three.js

Getting Started

Prerequisites

• Node.js (v14 or later)
• Arduino IDE
• ThingSpeak account
• Groq API key
• Hume API key

Installation

1. Clone the repository:

   git clone https://github.com/your-username/bloom-ai.git
   

2. Install dependencies:

   cd bloom-ai
   npm install
   

3. Set up environment variables: Create a .env file in the root directory and add the following:

   THINGSPEAK_API_KEY=your_thingspeak_api_key
   GROQ_API_KEY=your_groq_api_key
   HUME_API_KEY=your_hume_api_key
   

4. Run the development server:

   npm run dev
   

5. Open http://localhost:3000 in your browser.

Hardware Setup

1. Connect the sensors to your Arduino or ESP8266/ESP32 board according to the wiring diagram.
2. Upload the main_code.ino sketch to your board.
3. Configure your Wi-Fi credentials in the secrets.h file.

Usage

1. Place the sensor near your plant.
2. Access the Bloom AI dashboard through your web browser.
3. Monitor your plant's health metrics in real-time.
4. Ask the AI assistant for plant care advice.
5. Upload images of your plant for detailed analysis.

Contributing

We welcome contributions! Please see our Contributing Guide for more details.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• ThingSpeak for IoT data platform
• Groq for AI language model and computer vision analysis
• Deepgram for Voice AI