Rosetta Home 2.0 is an open source building performance monitoring platform
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Updated
Apr 29, 2020 - Elm
Rosetta Home 2.0 is an open source building performance monitoring platform
SysMonAvalonia - 3 desktop widgets for Windows.
Weather monitoring using Grafana, influxDB and rtl_433
Compact and efficient library to use BME280 in Arduino using only integer arithmetics
Weatherly is a comprehensive weather application that provides real-time updates, forecasts, and detailed weather metrics. It's built with modern web technologies to provide a seamless and engaging user experience.
IOT weather station implemented virtually on Proteus and Arduino
A comprehensive real-time Weather Monitoring System that fetches and processes weather data from OpenWeatherMap API for major Indian cities, featuring daily summaries, alerts, ML predictions, and an interactive dashboard.
A weather monitoring desktop application applies various design patterns in OO programming
Digital pluviometer developed and supervised during my internship. Language: Spanish
Real-time weather monitoring application using SPL06-007 sensor and Arduino with a Python GUI.
Java RMI based weather monitor system
This system basically monitors various parameters like heat index, soil moisture, temperature & humidity. Using IoT and respective sensors, the weather analysis is made available on the desktop through the website. The user will be able to access the updates through the website where he/she can view the information in the form of statistics.
This is a weather monitoring system using Arduino
Weather Monitoring System using 8086 Microprocessor
A comprehensive climate data management system providing APIs for AWS stations, weather stations, and crowdsourced data with real-time monitoring and prediction capabilities.
Circuit for IOT weather station implemented in proteus and Stm32cube
A web-based weather monitoring system.
This repository was created for the thesis work related to the Artificial Vision subject at the University of Salerno.
Exploring weather station data available on https://www.ncdc.noaa.gov/cdo-web/datasets using pandas
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