This thesis presents the design and implementation of a hybrid Wi-Fi and LoRa-based IoT system for indoor environment monitoring. It uses ESP32 microcontrollers and a range of digital and analog sensors to measure parameters like temperature, humidity, AQI, UV light, noise, and light intensity. Custom PCBs were designed and fabricated to integrate the sensors and microcontrollers efficiently. Sensor data is transmitted via Wi-Fi and LoRa to a central node, which displays real-time values through a web interface using WebSocket communication. All collected data is stored in a MySQL database for long-term analysis and trend tracking. Evaluation showed strong performance in power efficiency, data acquisition accuracy, and communication reliability. The system provides a scalable, low-cost solution for continuous environmental monitoring in indoor spaces.