Privacy-First Approach
On-Device AI vs Cloud AI
Exploring the fundamental differences between processing AI on your device versus sending data to the cloud. This hobby project demonstrates the privacy benefits of local AI processing.
Two Different Approaches
Understanding the trade-offs between on-device and cloud-based AI processing
AI models run entirely on your device. Data never leaves your phone. Works offline. Limited by device capabilities.
Data sent to remote servers for processing. Requires internet connection. Can use more powerful models but raises privacy concerns.
Your conversations, documents, and data remain completely private when processed locally on your device.
On-device processing may be slower but ensures privacy. Cloud processing can be faster but requires data sharing.
Privacy Considerations
Why some users prefer on-device AI processing
Data Stays Local
- No data transmission to external servers
- Works completely offline once models are downloaded
- You maintain complete control over your information
- No risk of data breaches from external services
Cloud AI Considerations
- Data typically sent to remote servers for processing
- Requires internet connection to function
- May collect usage data and conversation logs
- Subject to third-party privacy policies
When On-Device AI Makes Sense
Scenarios where privacy and offline capability are important
Analyzing confidential documents, medical records, or legal papers that should never leave your device.
Working in areas with poor connectivity, travel, or environments where internet access is restricted.
Users who prioritize data privacy and prefer to keep all AI processing completely local.
Processing personal notes, diaries, or private conversations that should remain completely private.
Explore Privacy-First AI
Try this experimental approach to AI that keeps your data completely private. This hobby project demonstrates what future AI could look like.