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.

App mobile em React Native + componentes Arduíno que resolve um problema cotidiano: recolher ou expor roupas no varal antes de ser tarde demais.

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.

Rain activity detection using microwave link data with convolutional neural network. Repository for Masters thesis 2024/2025

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

🌧️ Monitor and predict rain in real time with RainSense-IoT, an advanced IoT system using weather sensors and AI algorithms for tropical environments.