Sri City Smart Weather Website
Joint effort by Chris Andrew and Santhoshini Gongidi.
A simple yet efficient web interface for people with little or no prior computer knowledge to be able to access and review collected data from the Sri City Smart Weather Station in a format that is easy to comprehend and assess.
To build an efficient, easy to use web-interface that is easily operable and maintainable. \item To collect and store data remotely from the Smart Weather Station in a usable and readable format. \item To calculate various statistical measures for the available data such as Mean, Standard Deviation, Maximum, Minimum, Median. \item To create visual representations for current and historical weather conditions.
Key functionality
- Efficient, easy to use web-interface that is easily operable and maintainable.
- Collects and stores data remotely from the Smart Weather Station in a usable and readable format.
- Calculates various statistical measures for the available data such as Mean, Standard Deviation, Maximum, Minimum, Median.
- Creates visual representations for current and historical weather conditions.
Displays live weather conditions updated hourly
Shows historical data in a year/month/day wise format
Data flow and system architecture
Dependencies
MySQL 5.5+
Python 2.7+
Web2Py (included)
Python-MySQLdb