Smart Farming Dashboard

  • Skills: Internet of Things (IoT) · Machine Learning · Node.js · ESP32 Microcontrollers · Python (Programming Language) · Soldering
  • Github URL: Project Link

Empowering Agriculture with Real-Time Monitoring and Predictive Analytics
Developed a comprehensive Smart Farming Dashboard, an ESW (Embedded Systems Workshop) project, designed to revolutionize agricultural monitoring through real-time data integration, predictive analytics, and visualization. This web-based application leverages IoT sensors, machine learning, and interactive dashboards to provide actionable insights for smarter farming practices.

Key Features:
Real-Time Alerts: Instant notifications when sensor values exceed predefined thresholds, ensuring proactive intervention.
Interactive Dashboard: View live sensor data and explore trends via dynamically generated graphs for the last 20 readings.
Predictive Analytics: Integrated an ML model to forecast sensor readings for the next 24 hours, enhancing decision-making capabilities.
Farm Visualization: Interactive farm maps powered by Google Maps, displaying sensor locations for a holistic overview.
Technical Highlights:
Automated Data Handling: Seamless data fetching from ThingSpeak, with reindexing and storage in CSV format.
Machine Learning Integration: Python-based ML model for predictive analysis, running dynamically on user requests.
Scalable Architecture: Built with Node.js for efficient data processing and Express.js for API management.
Dynamic Visualization: Graphs and charts rendered in real-time, providing clear insights into sensor trends.
Project Structure:
Backend: Node.js server (Express, Body-Parser, CSV-Writer) for data management and API endpoints.
Frontend: Static files (HTML, CSS, JS) for an intuitive user interface.
ML Integration: Python script for predictions, with results stored in JSON for seamless rendering.
Key Takeaways:
Gained hands-on experience in IoT, web development, and machine learning integration. Developed real-time alert mechanisms and optimized data handling workflows.