IoT Data Dashboard

A comprehensive full-stack IoT data monitoring dashboard built with Flask, SQLAlchemy, and WebSockets. Designed for database programming courses with proper normalization, security, and modern UI.

🚀 Features

• Real-time Data Monitoring: Live sensor data updates via WebSocket
• Sensor Management: Add, edit, and manage IoT sensors with API keys
• Alert System: Threshold-based alerts with severity levels
• Data Analytics: Historical data analysis with interactive charts
• User Authentication: Secure login and registration system
• Responsive Design: Modern, mobile-friendly UI with feminine styling
• RESTful API: Complete API for sensor data ingestion
• Database Optimization: Proper indexing and time-series data handling

🛠 Tech Stack

Backend

• Flask - Web framework
• SQLAlchemy - ORM with PostgreSQL/SQLite
• Flask-SocketIO - Real-time WebSocket communication
• Flask-Login - User authentication
• Flask-WTF - Form validation and CSRF protection

Frontend

• Bootstrap 5 - Responsive UI framework
• Chart.js - Interactive data visualization
• Font Awesome - Icons
• Vanilla JavaScript - Client-side functionality

Database

• PostgreSQL (Production) - Robust relational database
• SQLite (Development) - Lightweight development database

📦 Installation

Quick Start with Docker

# Clone the repository
git clone <repository-url>
cd iot-dashboard

# Copy environment file and configure
cp .env.example .env
# Edit .env with your settings

# Start with Docker Compose
docker-compose up -d

# Access the application
open http://localhost:5000