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Description
A new approach to detecting procrastination ProcrastiScan helps you stay focused and productive by continually checking if the content you're viewing aligns with what you actually want to be doing. As you browse, a Relevance Score is calculated for every tab, based on how similar it is to your task and your descriptions of relevant/distracting content. If the score is higher than 0.5, content is considered relevant, lower scores are considered distracting. An averaged Focus Score is calculated to reflect your current level of focus. If it falls below 0.5, ProcrastiScan assumes you're distracted and one of various interventions to choose from will be activated. Features: - Smart Distraction Recognition: All your browsing activity is scored in real-time for how distracting it is, based on meaning rather than just keyword matching - Dashboard: See at which times you were focused or distracted - Tab Blocking: Automatically detect distracting tabs and block them - Chatbot: Engage in a focused conversation with an AI assistant to get back on track or reflect on why you got distracted. Requires a local LLM connection, highly experimental - Procrastination List: Recognize and save distracting tabs for later ### For a detailed manual and an optional server to score all programs instead of just your browser, check out the GitHub repository: https://github.com/Marc-Pk/ProcrastiScan