Objective:

To develop a smart home system where users can control appliances (like lights, fans, and other electronics) using hand gestures, providing a hands-free and intuitive interaction method—ideal for modern homes, differently-abled individuals, and elderly users.

Technologies Used:

• Frontend: HTML, CSS, Bootstrap, JavaScript

• Backend: Node.js / PHP / Java

• Database: MySQL / MongoDB (to store device states, user profiles)

• IoT Components: Arduino/Raspberry Pi, Relay Modules, Gesture Sensors (like MPU6050, Ultrasonic sensors)

• Optional (Camera-based): Python + OpenCV for gesture recognition

Key Features:

1. Gesture Recognition Interface:

   • Use either sensor-based gloves or camera-based hand tracking (OpenCV) to detect gestures.

   • Predefined gestures mapped to device commands (e.g., swipe up = fan ON, palm open = light OFF).

2. Device Control Panel (Web-Based):

   • Dashboard showing all connected appliances and their real-time status.

   • Allows users to override gestures with manual controls.

3. Real-Time IoT Communication:

   • Gestures translated into signals sent to Arduino/Raspberry Pi.

   • Relay modules used to switch appliances on/off.

4. User Authentication System:

   • Secure login for homeowners.

   • Role-based access (e.g., admin, guest, restricted user).

5. Responsive Web Design:

   • Built using Bootstrap for easy access from desktops, tablets, and mobile phones.

6. Optional Voice Control Integration:

   • Dual control using voice commands via Web Speech API or external modules like Google Assistant.

7. Logs & Analytics:

   • Record gesture commands and appliance usage.

   • Display statistics for energy consumption trends.