AI-Powered Emotion Responsive Environment (IoT projects)

Introduction This document provides a complete guide to developing an AI-powered emotion-responsive environment that detects human emotions and adjusts the surroundings accordingly (lights, music, temperature, etc.). Objectives Hardware Requirements 1. Camera for Emotion Detection 2. Smart Lighting System 3. Smart Sound System 4. Smart Home Integration 5. Temperature & Air Quality Sensors (Optional) Software Requirements 1. Frontend (User Interface) 2. Backend 3. AI Model for Emotion Detection Project Implementation Steps Step 1: AI Emotion Detection Setup Install AI Dependencies Build Emotion Detection Model Step 2: Control Smart Devices Based on Emotion Change UI Based on Emotion Control Smart Lights (Philips Hue) Play Music Based on Emotion (Spotify API) Adjust Room Temperature (ESP8266 / DHT22 Sensor) Deployment Generate APK for Android Firebase Integration (Optional) Final Features ✅ AI-powered facial emotion detection✅ Smart home integration (lights, music, temperature)✅ Real-time emotion tracking & dashboard✅ Mobile App + Web Control Panel

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