Sentiva: Protecting Media Privacy with AI

Sentiva is an innovative project designed to safeguard sensitive media files and prevent the misuse of deepfake content. By leveraging cutting-edge AI technology, Sentiva acts as a privacy-first layer on your device, ensuring that sensitive images and videos never leave your control without your consent.

---

Key Features

• Sensitive Media Detection
  Detects and flags explicit or private content, ensuring it stays private and secure.

• Deepfake Protection
  Identifies and blocks the transmission of manipulated or deepfake media files.

• On-Device Processing
  All AI operations are performed locally on your device, guaranteeing privacy and security.

• User-Customizable Rules
  Users can personalize detection settings to suit their specific privacy needs.

• Encrypted Personal Database
  A secure and encrypted database allows users to register media they wish to protect.

• Real-Time Blocking
  Prevents sensitive media from being sent to ISPs or other devices without proper verification.

---

How It Works

1. Media Interception
   Sentiva intercepts outgoing media files and scans them for sensitive content using AI models.

2. AI Scanning

   • Explicit Content Detection: Identifies nudity or explicit imagery.
   • Deepfake Analysis: Flags AI-generated or manipulated media.

3. Blocking Mechanism
   If the media is identified as sensitive or manipulated, it is blocked from being transmitted.

4. User Alerts
   The system notifies users when a sensitive file is flagged, providing options for further actions.

---

Technologies Used

• AI and Machine Learning

  • TensorFlow or PyTorch for building AI models.
  • Pre-trained models for nudity detection (e.g., NudeNet).
  • Deepfake detection using FaceForensics++ or similar datasets.

• Edge AI

  • TensorFlow Lite for real-time on-device processing.

• Security and Encryption

  • AES/RSA encryption for personal databases.
  • Secure user authentication.

• Middleware Development

  • Built with high-performance languages like Go or Rust.

---

Setup and Installation

Prerequisites

• Python 3.8+
• TensorFlow or PyTorch
• pip for dependency management

Steps

1. Clone this repository:

   git clone https://github.com/yourusername/sentiva.git
   cd sentiva