AmirhosseinHonardoust/AI-Productivity-Tracker
Analyze and predict daily productivity using SQL, machine learning, and psychology. This project combines behavioral data, circadian rhythm analysis, and ElasticNet regression to model focus, stress, and performance, transforming work patterns into actionable insights.
This project helps you understand and predict your daily work output by analyzing your behavioral data, like sleep patterns, meeting schedules, and focus times. It takes your daily activity logs and psychological self-assessments to generate insights into what drives your best performance and what causes dips. Anyone in knowledge work — like a freelancer, a project manager, or an individual contributor — who wants to optimize their personal efficiency would find this useful.
Use this if you want to understand the psychological and behavioral factors influencing your daily productivity and get data-driven predictions on how certain habits or conditions might impact your future work quality.
Not ideal if you're looking for an off-the-shelf app that automatically tracks your computer usage or if you're uncomfortable with manually logging personal behavioral and psychological data.
Stars
35
Forks
—
Language
Python
License
MIT
Category
Last pushed
Oct 24, 2025
Commits (30d)
0
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