Voice-Controlled Smart Home Energy Saver
Vansh Jain – [2024-B-17122006C]
In modern households, a significant amount of electricity is wasted due to appliances being left on unnecessarily. Traditional smart home systems allow remote control, but they often lack advanced automation and AI-driven optimization to reduce wastage effectively.
Rising electricity bills and increasing environmental concerns demand a smarter, automated, and more user-friendly approach to energy management.
The Voice-Controlled Smart Home Energy Saver is an IoT-based system designed to monitor and manage household energy usage efficiently.
The system will:
- Continuously track the power consumption of connected appliances.
- Provide AI-powered recommendations to optimize energy usage.
- Allow users to control appliances via voice commands (Google Assistant/Alexa).
- Automatically switch off idle devices to prevent wastage.
- Generate monthly reports showing cost savings and environmental impact.
- Real-Time Energy Monitoring – Track the energy usage of each connected appliance.
- Voice Control Integration – Turn appliances on/off using Google Assistant or Alexa.
- AI-Based Optimization Suggestions – Get personalized tips to save electricity.
- Idle Appliance Auto-Shutdown – Automatically power down unused devices.
- Monthly Savings & Impact Report – Show savings in cost and reduced carbon footprint.
- Multi-User Access – Family members can control devices with assigned permissions.
- Homeowners
- Apartment residents
- Small offices
- Energy-conscious individuals
- Smart city initiatives
- IoT Hardware: ESP8266/ESP32, Smart Plugs, Energy Monitoring Sensors (e.g., HLW8012)
- Backend: Node.js / Express
- Frontend: React.js / React Native (mobile app)
- Database: MongoDB / Firebase
- AI/ML: Python (TensorFlow, scikit-learn) for usage prediction
- Voice Integration: Google Assistant SDK / Alexa Skills Kit
- Communication Protocols: MQTT, Wi-Fi
- Security: JWT Authentication, HTTPS encryption
By the end of the project:
- Users can monitor and control all major appliances via a mobile/web dashboard and voice commands.
- Energy wastage will be reduced by at least 20% compared to manual control.
- Users will receive monthly reports showing electricity savings and environmental benefits.
- Week 1–2: Research, hardware selection, and UI/UX design.
- Week 3–4: IoT hardware integration with backend API.
- Week 5–6: AI model development for usage prediction & optimization.
- Week 7: Voice assistant integration and testing.
- Week 8: Final testing, bug fixes, and deployment.
- Can be integrated with solar panel monitoring for renewable energy optimization.
- Future scope: Extend for industrial energy monitoring in factories or offices.
- Possibility of integration with smart thermostats, lighting systems, and security devices for a complete smart home solution.