heramb
moodE OS
project showcase

Home Automation: Revolutionizing the Way We Live, in a nutshell

We ‘Team TechQuad’ built a project for our recent college Electronics Hackathon {november 2023}! MoodE : Mood Based Environment Development

Technology and Approach

Core Technologies

OpenCV Basic Electronics Machine Learning Libraries

Project Objective

Create an adaptive system designed to enhance user well-being in monotonous work environments and medical settings.

System Components

1. Mood Detection
2. Algorithm: Haar Cascade (Real-time object detection)
Alternative Algorithms Explored: MTCNN algorithm
YOLO v8 ML libraries

Environment Modification Strategies

a. Lighting Adaptation Dynamic light changes based on detected user mood Real-time environmental response. b. Audio Experience Background music selection Curated "feel-better" centered songs Emotional state enhancement. c. Aromatic Enhancement Automated perfume dispensing Designed to create a more pleasant sensory environment Improve overall user comfort.

Core Purpose

Develop a software system focused on alleviating user fatigue and improving emotional state through multi-sensory environmental modifications.

Future Development
Developments include refining mood detection algorithms with user feedback, enhancing integration with
home automation systems, and exploring AI-based decision-making
for personalized user experiences.

project showcase- MoodE

During Production:

MOODE

—‎ ‎ Smartly controlled fans for saving energy.
—‎ ‎ App-operated lighting for effortless convenience and personalized moods ✨
—‎ ‎ Direct app access to garage door automation for seamless entry and security

> Program Files at My Github

Heramb Salunkhe: First-Year Student pursuing Electronics & Communication Engineering (AI-ML)

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