Hồ Gia Bảo

Designed a lightweight InceptionCNN for image classification using PyTorch. The model combines Inception Blocks, Residual Connections, and Batch Normalization, achieving 98.97% accuracy with only 86,640 parameters. Includes data preprocessing, augmentation, training, evaluation, and TorchScript export.

Environmental Monitoring System using LoRa is a low-power IoT system for real-time monitoring of temperature, humidity, and gas concentration. Sensor data are transmitted over long distances via LoRa, enabling reliable remote monitoring and early warning. Suitable for smart agriculture, industrial safety, and smart buildings.

Design and Implementation of a Real-Time Health Monitoring and Fall Detection System Based on STM32 and ESP32 Using LoRa Communication

Communication between STM32F103C8T6 and an OLED display using I²C and SPI.