Inspiration
We noticed that most productivity tools focus on measuring screen time rather than understanding behavior. People often lose focus unintentionally due to fatigue, cognitive overload, or context switching, but existing tools don’t explain why this happens. We wanted to build something that promotes self-awareness instead of guilt or restriction.
What it does
Focus Analyzer analyzes browser tab-switching behavior to identify deep work periods, fragmented attention, and repeated switching loops. It then explains these patterns using probabilistic, non-judgmental language, helping users understand why their focus may have broken rather than just showing raw usage statistics.
How we built it
We built a Chrome extension to collect high-level tab activity (domains and timestamps only) with explicit user consent. A Node.js backend processes this data to detect behavioral patterns. An AI reasoning layer powered by Gemini explains these patterns, and a React frontend visualizes the results with a clean dashboard, personality modes, and light/dark themes.
Challenges we ran into
We faced real-world AI integration challenges, including API availability and permission constraints during the hackathon. Ensuring the system remained reliable even when the AI model was unavailable was a key challenge. We also focused heavily on privacy, making sure no sensitive data or content was ever tracked.
Accomplishments that we're proud of
- Built a full end-to-end system (extension + backend + frontend)
- Designed an ethical, privacy-first data collection approach
- Implemented graceful AI fallback instead of crashes or hallucinations
- Created a clear, user-friendly way to explain complex behavioral patterns
What we learned
We learned that responsible AI design is as important as AI capability. Building systems that handle failure gracefully, respect user privacy, and communicate uncertainty clearly is critical for real-world AI applications. We also learned how challenging but valuable it is to integrate AI reasoning into behavioral analysis.
What's next for Focus Analyzer
Next, we want to improve personalized insights, expand accessibility-friendly explanations (for parents or elderly users), and explore integrations for digital well-being and workplace focus tools. With stable AI access, we plan to deepen Gemini-powered explanations and add long-term focus trend analysis.
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