AI-Personal-Study-Tracker AmirhosseinHonardoust · PARTIAL
An AI-driven productivity tracking app built with Python, Streamlit, SQLite, and Machine Learning. It logs and analyzes study sessions, predicts productivity using Random Forest models, and visualizes key insights to help learners improve focus, habits, and overall academic efficiency.
github.com/AmirhosseinHonardoust/AI-Personal-Study-Tracker · ★ 31 · Forks 1 · Size 90 KB
SUMMARY
Technologies 7
Scored 5
Observed 5
Practices 6
Evidence 8
Skips 2
COVERAGE
Analyzed 11 files · 5 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
5 files · PRODUCTION
SQL LANGUAGE Depth 70
1 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Pydantic LIBRARY Depth —
0 files · config only
SQLAlchemy LIBRARY Depth —
0 files · config only
pandas LIBRARY Depth 58
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-10-30
Last commit 2025-10-30
Active months 1
Commits 5