The problem addressed in this project is the lack of effective training and preparedness for fire emergencies, leading to high casualties during domestic fires. The proposed solution integrates an Adafruit SCD-40 sensor with a microcontroller to track critical risk indicators (CO₂, temperature, humidity) and transmit data to a Firebase cloud database. These readings drive a Unity simulation that generates lifelike training scenarios, such as kitchen fires or electrical malfunctions. Key challenges, including maintaining reliable data transmission and seamless real-time simulation integration, were addressed through the use of optimized data protocols and adaptive coding methods. Testing confirmed the platform’s ability to accurately simulate diverse emergencies, offering a dynamic alternative to conventional training methods. By merging live environmental data with interactive scenarios, the system strengthens practical decision-making under stress, improving emergency readiness and reducing risks in residential settings.