Datatrail

Inspiration

Privacy policies are often long and difficult to understand. People frequently accept them without knowing how their personal information may be collected, used, shared, or retained. I wanted to make this information easier to explore and understand.

What it does

DataTrail transforms privacy policies into interactive data journeys. Users can explore four stages: Collect, Use, Share, and Keep. It presents relevant policy evidence, identifies vague or missing information, and separates explicit policy statements from analytical interpretations.

How I built it

I developed DataTrail as an interactive web application, using AI-assisted development to help implement and refine its interface and analysis features. I also used structured project planning documents to organize the scope, requirements, and technical specifications.

Challenges and learning

One key challenge was making complex privacy information understandable without misleading users. I learned the importance of distinguishing what a policy explicitly states from interpretation and uncertainty. DataTrail analyzes policy disclosures; it does not claim to verify an app's actual runtime behavior.

What's next

I want to improve policy analysis, expand input options, and make it easier for users to compare privacy disclosures and make informed decisions.

Built With

• ai-assisted
• copy
• css
• development
• html
• javascript
• privacy
• react
• tailwind
• typescript
• vite
• web