App mobile em React Native + componentes Arduíno que cuida das suas roupas no varal antes de ser tarde demais.
Sistema IoT de detección temprana de lluvias con Arduino. Monitorea condiciones meteorológicas usando sensores DHT22/BMP280 y algoritmos de predicción multivariable para alertas en tiempo real. Procesa datos y los envía via HTTP/JSON.
This project was undertaken as part of the N.A.V.E TECH UNIR Samsung Eletrônica da Amazônia LTDA course in Porto Velho, RO, Brazil, spanning from November 2023 to April 2024.
An R&D-based Rain Detection System developed to detect rainfall using sensor data. The project focuses on monitoring environmental conditions and providing accurate rain detection for real-time applications such as smart irrigation, weather monitoring, and automation systems
An ESP32-based AIO Weather Station🌡️
Our National Telecommunication Institute (NTI) ADAS CAR System. Its Features: 1-Lane Keeping ,2-Lane Changing ,3-Blind-Spot ,4-Emergency Break, 5- Adaptive Cruise Control, 6-Front Collision Avoidance ,7-Rear Collision Avoidance ,8- Right Side Collision Avoidance, 9-Left Side Collision Avoidance,10-Rain Detection+ Auto Wipers,11-Thief detection
Rain activity detection using microwave link data with convolutional neural network. Repository for Masters thesis 2024/2025
🌧️ Monitor and predict rain in real time with RainSense-IoT, an advanced IoT system using weather sensors and AI algorithms for tropical environments.
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