AI Smart Home.pptx Artificial intelligence
- 1. 1 VISVESVARAYA TECHNOLOGICAL UNIVERSITY JNANA SANGAMA, BELAGAVI-590018 SEMINAR ON “AI IN SMART HOME AUTOMATION FRAMEWORK” Presented By Name : VARUN S P USN : 2SR22IS410 Guide Dr. Savita R Channagoudar Head Of The Department Information Science Department Of Information Science Sri Taralabalu Jagadguru Institute Of Technology
- 2. 2 CONTENTS 1. INTRODUCTION 2. DESCRIPTION OF CONCEPTS 3. ARCHITECTURE 4. PROPOSED METHODOLOGY 5. ADVANTAGES 6. LIMITATIONS 7. FUTURE WORK 8. CONCLUSION 9. REFERENCES
- 3. 3 INTRODUCTION • AI smart home automation by enhancing functionality, personalization, and efficiency. By analyzing data from various smart devices. • AI algorithms learn user preferences and habits, enabling proactive and personalized automation of tasks like lighting, temperature, entertainment, and security. This results in a more comfortable, convenient, and energy-efficient living environment.
- 4. 4 DESCRIPTION OF CONCEPTS • Smart home automation is building automation for a home. A home automation system will monitor and control home attributes such as lighting, climate. It may also include home security such as access control and alarm systems. • A Smart home automation system typically connects controlled devices to a central smart home hub. The user interface for control of the system uses either wall-mounted terminals, tablet or desktop computers, a mobile phone application, or a Web interface that may also be accessible off-site through the Internet.
- 5. 5 ARCHITECTURE How it All Works Together 1. User gives a voice command via Google Assistant. 2. The command goes to Adafruit via internet. 3. Adafruit routes the command to NodeMCU(Node Microcontroller Unit). 4. NodeMCU controls the relevant device (e.g., turns on an appliance). 5. If a sensor (e.g., motion detector or temperature sensor) triggers an event, it sends data back to Adafruit. 6. IFTTT(If This Then That) can automate responses based on those sensor events.
- 6. 6 PROPOSED METHODOLOGY How It All Works Together 1. Sensors collect data (temperature and light levels). 2. Arduino processes or passes this data through the USB or Wi-Fi. 3. Smartphone or PC receives the data via the internet or USB. 4. Apps use the data for different purposes— monitoring, analysis, automation, or alerts.
- 7. 7 ADVANTAGES 1. Intelligent Decision Making 2. Predictive Automation 3. Voice & Natural Language Control 4. Energy Efficiency 5. Enhanced Security 6. Remote Monitoring & Control 7. Time & Effort Saving 8. Continuous Improvement
- 8. 8 LIMITATIONS 1. Privacy & Security Risks 2. Internet Dependency 3. Limited Understanding of Context 4. High Initial Cost 5. Compatibility Issues 6. Over-Automation & Loss of Control 7. Maintenance & Technical Skills 8. Limited Learning in Simple Systems
- 9. 9 FUTURE WORK 1. Self-Learning & Adaptive Systems: • Homes will continuously learn user preferences without needing manual configuration. AI will automatically update routines as your habits change over time. 2. More Natural Human-AI Interaction: • Integration of emotion-sensitive AI and natural language understanding. 3. Energy Optimization at a Deeper Level: • AI will predict and optimize power consumption based on utility costs, weather, and occupancy. Could help reduce energy bills and carbon footprint. 4. Health Monitoring & Elderly Care: • AI will be used for non-intrusive health tracking, fall detection, medication reminders, and emotional support for elderly or disabled residents. 5. Proactive Maintenance: • AI will predict when appliances or devices are likely to fail and schedule maintenance automatically.
- 10. 10 CONCLUSION Artificial Intelligence has become the driving force behind the next generation of smart homes. By combining real-time data from sensors with intelligent decision-making, AI transforms ordinary devices into responsive, adaptive, and personalized systems. From voice control and energy efficiency to security enhancements and predictive automation, AI significantly improves the convenience, safety, and comfort of modern living.
- 11. 11 REFERENCES 1. https://www.researchgate.net/publication/381111082_Integration_of_Ai_and_Iot_for _Smart_Home_Automation 2. https://ieeexplore.ieee.org/document/10508006/ 3. https://newo.ai/insights/the-evolution-of-smart-homes-integrating-ai-in-home-automa tion/ 4. https://devtechnosys.com/insights/ai-in-smart-home-automation/ 5. https://chatgpt.com
- 12. 12 Thank you