Overview
The Smart HomeGuard Project offers a cutting-edge home security solution integrating an Android app with cloud-based machine learning for real-time surveillance and intruder detection.
Key Components
- Android App: User interface for surveillance, alerts, and control.
- Machine Learning Models: Intruder and object classification.
- Cloud-Based API: Hosting and communication of machine learning models.
- Tech Integration: Utilizes Jetpack Compose, Coroutines, Room, Retrofit, and Work Manager.
Animated Overview
Core Features
- Real-Time Surveillance: Live feed and immediate alerts on potential threats.
- User Authentication: Secure login to access app features.
- Data Communication: Seamless cloud interaction for data analysis and storage.
- Scheduled Updates: Regular checks and updates through background task scheduling.
Development Milestones
- UI Development: Designing an intuitive interface with Jetpack Compose.
- Machine Learning Integration: Implementing accurate detection models.
- Cloud Infrastructure: Establishing robust cloud connectivity for model hosting.
- Comprehensive Testing: Ensuring reliability and efficiency across systems.
Future Goals
- Revolutionize home security with advanced technology.
- Achieve seamless integration for real-time monitoring and detection.
Demo
Coming Soon!
For more information on deployment and usage, please refer to our comprehensive user documentation. Stay tuned for updates on this innovative security solution!