Project_IOT

During my university training, I worked on a local environmental monitoring project built with Flutter. The idea was to use sensors to measure different atmospheric elements and collect real-time environmental data. The collected data was stored in a local Firebase database and then fetched inside the mobile application.

The app supported both Arabic and English languages, and included weather-related features such as predicting the probability of rainfall. This prediction model was implemented using Logistic Regression, allowing the app to estimate rain likelihood based on the sensor inputs.

The project demonstrates my skills in Flutter development, handling multilingual apps, integrating Firebase locally, used provider state management , working with sensor-based data, and applying machine learning techniques inside mobile applications.