MoodE automates home processes and includes a segment focused on mood detection using computer vision technology, specifically OpenCV's Haar Cascade (real-time object detection algorithm). Through real-time analysis of facial expressions captured via webcam, we assigned numerical values to different moods. These values trigger specific light patterns on an Arduino UNO R3 with WS2812 LED lights, creating an ambient environment tailored to the user's emotional state. Also, user-based selection of song playing over that his specific mood (It will be pre-saved and also customizable). More focused on knowing psychology of a human being and even on that implemented a fragrance system with perfume (user-specified). 🌟 Being the major goal we focused on was to create a system (software) which would focus on making the tired, exhausted user feel better, via environment light changing [ we even tried using MTCNN algorithm, yolo v8 ml libraries, but had computational processing issues], Music Player in background (feel better centered songs, which will make user feel better), automated perfume scent(which would make user's environment smell with better aroma to make him feel better). 😊🎶✨ Application Scenario: Basically, the application is whenever a tired, bored work employee get back his home after hectic schedule. When he opens his computer, program would be flashed and through it mood will be detected and (if sad) yellow-golden light would be enlightened in his environment via LEDs, which would basically make user calm, also playing music and scent pump in environment! For Code (do check this repo.) : https://github.com/Heramb0x1/MoodE-development