Emotion Aware Smart Space

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  this is the workflow for our project

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  this is the architecture

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  emotion detection

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  components we have used are tempeature, red green blue sensors, heartrate, motion, fan, sound, google home etc

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  this is for readings of temperature, heart rate, emotion detection adn adjust lights, fan speed, motion sensor used if user is detected

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  this is for playing music based on user emotion

Inspiration

Most smart homes today can control lights, fans, or music with a command — but they don’t really understand the user. After a stressful day, you still need to give voice commands or tap an app. We wanted to change that by creating a space that automatically adapts to your emotions, making technology feel more human-centered.

What it does

Detects emotions from facial expressions using a Raspberry Pi camera and AI model.

Plays music that matches your emotional state through Google Home.

Adjusts lighting, air quality, and ambiance to improve mood.

Provides a personalized smart environment that evolves with how you feel.

How we built it

Hardware: Raspberry Pi, camera module, IoT sensors (light, motion).

AI: Trained emotion detection model using computer vision techniques.

Software: Python for integration, automation, and device communication.

Smart Integration: Google Home to play emotion-based music.

Challenges we ran into

Running real-time emotion detection on limited Raspberry Pi hardware.

Ensuring smooth communication between IoT devices and AI modules.

Automating music playback through Google Home.

Maintaining low latency for a seamless experience.

Accomplishments that we're proud of

Successfully building an end-to-end pipeline: emotion recognition → smart space response.

Integrating hardware, AI, and IoT into a single working system.

Demonstrating how smart spaces can go beyond efficiency and actually support emotional well-being.

Presenting a real-world solution that feels futuristic but practical.

What we learned

How to combine IoT hardware with AI-based emotion detection.

Optimizing AI models to run effectively on edge devices like Raspberry Pi.

Team collaboration across hardware and software development.

Designing systems that consider human emotions — not just commands.

What's next for Emotion Aware Smart Space

Voice-controlled emotional assistant that suggests relaxation or productivity activities.

Advanced emotion detection using biometric sensors like heart rate and skin response.

Multi-room support for a fully connected emotion-aware home.

Expanding to offices, classrooms, or hospitals to improve well-being in shared environments.

Built With

• googlehomeapi
• iot
• opencv
• python
• raspberry-pi
• sensors
• tensorflow