- A list of websites that are currently being tracked.
- A text details view, that allows the user to compare the current website version with previous versions.
- An image details view, that allows the user to compare images in a carousel.
- A pdf details view, that allows the user to compare pdfs in a carousel, similar to the images.
- A settings view, that allows user to toggle auto-sync on/off and configure what is required for a sync to occur.
- An about screen, with contact information.
1. User Consent and Privacy:
Before monitoring any user’s online activity, it’s essential to obtain proper consent and inform users about the data you’re collecting and how you intend to use it. Make sure to comply with relevant privacy laws and regulations.
2. Network Traffic Monitoring:
To track website usage and data consumption, you would typically need to monitor network traffic. This can be done using network monitoring tools or deep packet inspection techniques. You might need to set up a proxy server or use a network monitoring appliance.
3. Packet Analysis:
Deep packet inspection involves analyzing the contents of network packets to identify the websites being accessed and the amount of data being transferred. This can provide insights into the specific websites users are visiting and the data volume associated with each website.
4. Website Categorization:
You might use website categorization databases or algorithms to determine the type of content each website offers. This can help you understand whether the user is visiting social media sites, streaming platforms, news websites, etc.
5. Data Consumption Estimation:
Measuring data consumption involves tracking the volume of data transferred to and from the user’s device for each website. This can be done by analyzing the packet sizes and counting the number of packets exchanged between the user’s device and the website’s server.
6. Data Storage and Reporting:
Once you’ve collected the data on website usage and data consumption, you’ll need to store it securely and generate meaningful reports or visualizations for analysis.
7. Anonymization and Security:
It’s crucial to handle user data securely and maintain anonymity. Make sure to encrypt sensitive data, follow best practices for data storage, and implement security measures to protect user privacy.