The problem Zenith solves

In today’s digital age, many students and professionals struggle with time management, digital overload, and declining mental well-being due to excessive online activity. Zenith Content Tracker addresses this issue by providing a comprehensive tool that helps users gain control over their digital habits. It tracks browser activity, analyzing time spent on various websites to give users detailed insights into their productivity patterns. By identifying distractions and highlighting areas of improvement, Zenith empowers users to make better use of their time.

Additionally, Zenith includes a mental health analysis feature that detects signs of digital fatigue or stress by monitoring browsing behavior. With an integrated goal tracker and personalized recommendations, the tool helps users set and achieve realistic objectives, offering a detailed 30-day progress report. Zenith goes beyond simple tracking; it provides actionable feedback, making it a reliable companion for improving productivity, achieving goals, and maintaining a healthy balance in the digital world.

Challenges I ran into

1.Data Accuracy and Consistency: Ensuring the browser activity tracking accurately reflects the time spent on various websites without errors or misreporting.
Handling the complexities of multiple browser versions and platforms to ensure consistent data collection.

2.User Privacy Concerns: Maintaining user privacy while collecting and analyzing data, especially with sensitive browsing habits and mental health insights.Complying with privacy regulations like GDPR and ensuring transparent data handling practices.

3.Real-time Data Processing: Developing a system that processes real-time browser data without causing significant lag or slowing down the user's device performance.
Ensuring smooth integration of the browser extension with the web interface for seamless tracking and reporting.

4.Mental Health Analysis Accuracy: Developing algorithms that accurately detect stress or mental fatigue based on browsing patterns and emotional cues.Addressing the subjectivity of mental health analysis, ensuring that the tool offers helpful and not harmful feedback.

5.User Engagement: Designing an interface that’s intuitive and engaging for users to encourage regular usage and data tracking.Balancing detailed insights with simplicity to avoid overwhelming users with too much information.

6.Goal Setting and Personalization: Creating a robust goal-setting system that adapts to different user needs, ensuring personalized recommendations are relevant and useful.Developing a flexible reporting system that can cater to diverse productivity goals and mental health metrics.