My Privacy Diary

Overview

Submission for the 3/15/2025 Seattle AI OSS Hackathon.

Team - Vish Subramanian, Thibaud Maudry, Skylar Deture

(we didn't win but hey , every line of code written was a step towards mastery, and every bug fixed was a lesson in patience :D)

My Privacy Diary is an AI-powered privacy analytics tool that transforms your browsing data into meaningful insights about your digital behavior. Using advanced LLM technology (GPT-4o), it analyzes your browsing patterns to provide personalized recommendations and insights.

Features

• Psychological Profiling: Understand your digital behavior patterns and habits
• Dual Analysis Modes:
  • Standard Query: Objective analysis of your browsing data
  • Personalized Insights: Tailored recommendations that speak directly to you
• Privacy-Focused: All data stays local - your privacy remains in your control
• Interactive UI: Easy-to-use interface with suggested questions and data visualization

Getting Started

1. Clone this repository
2. Install dependencies: pip install -r requirements.txt
3. Set up your OpenAI API key in a .env file
4. Run the application: streamlit run tracker-analyzer/agent.py
5. Load your browsing data and explore your digital profile

How It Works

My Privacy Diary uses LlamaIndex to create a searchable vector database from your browsing history. It then employs two AI agents powered by GPT-4o:

• A standard agent for objective data analysis
• A context-aware agent that incorporates your psychological profile into its responses

Requirements

• Python 3.8+
• OpenAI API key
• Streamlit
• LlamaIndex
• dotenv

Privacy Statement

My Privacy Diary is designed with privacy as a core principle. All data processing happens locally on your machine, and no browsing data is sent to external servers beyond the necessary API calls to OpenAI for analysis.

License

MIT