Mobile App Developer

Project Title: Smart IoT and AI-Based Control App (ESP32 + Firebase)

I developed a professional mobile application integrated with IoT and AI technologies. The system uses an ESP32 microcontroller connected to sensors and actuators, which communicates with Firebase Realtime Database for real-time data monitoring and device control.

The mobile app—built with Flutter—allows users to:

- Monitor sensor data (e.g., gas level, temperature, lanes) in real time

- Control devices remotely (e.g., fans, servos, motors)

- Receive alerts and AI-based recommendations

ESP32 reads sensor data and sends it to Firebase using Wi-Fi. The AI component (using TensorFlow Lite or Firebase ML) analyzes data and automatically triggers actions based on intelligent predictions. I used secure Firebase authentication, real-time syncing, and efficient data handling for reliable performance.

Technologies used:

- Flutter (Dart)

- ESP32 (Arduino C++)

- Firebase Realtime Database

- Firebase ML / TensorFlow Lite

- Wi-Fi communication / I2C sensor integration

This solution is ideal for smart home, industrial monitoring, and intelligent automation projects.