# 🖥️ Personal Activity Analytics

A personal analytics project that collects and analyzes Windows PC activity data to understand how time is spent across applications during the day.

## 🚀 Project Overview

This project automatically logs:

- Which applications were active

- When they were active

- How much time was spent in each application

The collected data is then cleaned, aggregated, and analyzed using Python, with plans for visualization in Power BI.

## 🧱 Project Structure

Personal_Activity_Analytics/

├── collector/ # Data collection scripts

├── analysis/ # Data analysis scripts

├── data/ # Local CSV logs (ignored by git)

└── README.md

## 🛠️ Tech Stack

- Python 3.14

- pandas, numpy

- psutil, pywin32

- Power BI (planned)

## 📊 Current Features

- Collects active application usage with timestamps

- Stores activity logs in daily CSV files

- Normalizes and aggregates multi-day logs

- Calculates total time spent per application

## 🔮 Planned Improvements

- Full-day activity tracking

- Hourly usage analysis

- Power BI dashboard

- Automatic daily reports

## 📌 Notes

Data files are excluded from the repository for privacy reasons.