Empowering Intelligent Home Automation with Advanced AI, IoT, and Seamless User Experience
The LEAP Smart Control System is a premium, multi-disciplinary platform designed to revolutionize home automation. By integrating state-of-the-art artificial intelligence, computer vision, IoT hardware, and intuitive user interfaces, LEAP delivers a secure, scalable, and user-centric solution for modern smart homes and facilities. This project is engineered for reliability, extensibility, and real-world impact, making it suitable for both research and commercial deployment.
Leap-Smart-Control-System/
├── Chatbot/
├── Documentation/
├── Face_Recognition/
├── Gesture_Recognition/
├── Imgs/
├── Mobile_Application/
├── IoT_Development/
├── Web_Development/
└── README.md
- Chatbot: Advanced conversational AI for natural language interaction and system control.
- Face Recognition: Secure biometric authentication using deep learning-based face detection and embedding.
- Gesture Recognition: Real-time gesture-based device control leveraging computer vision and ML.
- Mobile Application: Cross-platform app for remote access, notifications, and device management.
- Ring Development: Hardware integration for wearable smart ring, enabling gesture and proximity-based control.
- Web Development: Responsive web dashboard for centralized monitoring, analytics, and administration.
- IoT Development: Firmware and hardware modules for smart device connectivity and automation.
- Documentation: Comprehensive technical and user documentation for all modules.
- AI-Driven Chatbot: Real-time, context-aware assistance and automation via natural language.
- Face Recognition: Deep learning-based biometric authentication for secure access control.
- Gesture Control: Touchless device management using computer vision and ML-powered gesture recognition.
- Mobile App: Intuitive Android/iOS application for remote monitoring, notifications, and control.
- Smart Ring: Innovative wearable hardware for seamless, gesture-based system interaction.
- Web Dashboard: Enterprise-grade web interface for analytics, device management, and user administration.
- IoT Integration: Robust support for smart devices, sensors, and actuators with real-time data flow.
- Scalable Architecture: Modular design supporting easy extension, integration, and deployment.
- Advance home and facility security through multi-factor, biometric authentication.
- Deliver a frictionless, intuitive user experience across all interfaces and devices.
- Integrate cutting-edge hardware and software for next-generation automation.
- Enable remote, real-time control and monitoring of all connected systems.
- Foster innovation and research in smart environments and human-computer interaction.
- Modern smartphone (Android/iOS)
- IoT-enabled devices (lights, locks, cameras, sensors)
- Smart ring (optional, for advanced control)
- Standard PC/server for backend processing
- Python 3.8+
- TensorFlow, Keras, OpenCV (AI/ML modules)
- Android Studio or React Native (mobile app)
- Web stack: HTML, CSS, JavaScript, Flask/Streamlit (dashboard)
- Additional libraries: Firebase, SQLite, MQTT, etc.
-
Clone the Repository
git clone https://github.com/Leap-Smart-Solutions/Leap-Smart-Control-System.git cd Leap-Smart-Control-System -
Install Dependencies
pip install -r requirements.txt
-
Module Configuration
- Refer to the
Documentationdirectory for step-by-step setup of Face Recognition, Gesture Recognition, IoT, and other modules. - Configure hardware devices and network settings as described in the documentation.
- Refer to the
-
Run the System
python main.py
-
Mobile & Web Setup
- Build and deploy the mobile app using Android Studio or React Native.
- Launch the web dashboard via Flask/Streamlit as per instructions in
web/.
- Chatbot: Launch the chatbot module for intelligent, conversational control of devices and system queries.
- Face Recognition: Authenticate users via the camera interface for secure access and personalized automation.
- Gesture Recognition: Use supported gestures to control devices without physical contact.
- Mobile Application: Install and connect the app for remote management, notifications, and real-time updates.
- Web Dashboard: Access the dashboard for analytics, device status, and administrative functions.
- Smart Ring: Utilize the wearable for advanced, gesture-based control and proximity authentication.
We welcome contributions from the community and industry professionals. To contribute:
- Fork this repository.
- Create a feature branch (
git checkout -b feature/your-feature). - Commit your changes with clear, descriptive messages.
- Push your branch to your fork.
- Submit a Pull Request with a detailed description of your changes and rationale.
Please review our coding standards and contribution guidelines in the Documentation folder before submitting.
This project is released under the MIT License. See the LICENSE file for full details.
This project is made possible by the dedication of our development team, contributors, and academic mentors. We thank all collaborators for their expertise and support throughout the development lifecycle.
For technical support, partnership inquiries, or further information, please contact the project maintainers via GitHub Issues or refer to the documentation for direct contact details.