WeatherAlytics

WeatherAlytics is a Python driven IoT Data Visualization platform for meteorological data.

Try it out at https://weatheralytics.herokuapp.com

Project Status

Completed ✅

How to Use

Local Environment and Build

• Configure a local MySQL instance
• Clone the repository to your local system
• Set up python environment with prerequisites with - pip3 install -r requirements.txt
• Remove private import and add your MySQL configuration to connection.py
• Modify importdb.sql to point to the correct CSV location and execute it to configure your database
• Run app.py through terminal to start the DASH server
• Open a browser and go to http://127.0.0.1:8050

Plugins and Tools

WeatherAlytics is developed using Python with DASH and Plotly components. The following list of plugins have been used:

• DASH - Modern web framework for Data Science applications
• MySQL - Simple relational database
• Plotly - Graphs, Diagrams and Low-Code DASH implementation
• pandas - Data Analysis and Manipulation
• Google Colab - Speedy ML model creation
• pickle - Easy serialization/deserialization for trained models
• scikit-learn - ML and Data Science package
• paho-mqtt - Eclipse Paho Library for implementing MQTT for IoT sensors