Screen Time Tracker

import time

import pandas as pd

import matplotlib.pyplot as plt

from datetime import datetime

import win32gui  # Windows-only; use AppKit for Mac

LOG_FILE = "screen_time_log.csv"

TRACK_DURATION_MINUTES = 1  # Change as needed

INTERVAL_SECONDS = 5

def get_active_window_title():

    try:

        return win32gui.GetWindowText(win32gui.GetForegroundWindow())

    except:

        return "Unknown"

def track_screen_time(duration_minutes=1, interval=5):

    end_time = time.time() + (duration_minutes * 60)

    usage_log = []

    print("Tracking started... Press Ctrl+C to stop early.")

    while time.time() < end_time:

        window = get_active_window_title()

        timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")

        usage_log.append((timestamp, window))

        time.sleep(interval)

    # Save to CSV

    df = pd.DataFrame(usage_log, columns=["Timestamp", "Window"])

    df.to_csv(LOG_FILE, index=False)

    print(f"Tracking complete. Data saved to {LOG_FILE}")

    return df

def generate_report(csv_file):

    df = pd.read_csv(csv_file)

    df["Window"] = df["Window"].fillna("Unknown")

    # Count frequency of window usage

    summary = df["Window"].value_counts().head(10)  # Top 10 apps/windows

    # Plot

    plt.figure(figsize=(10, 6))

    summary.plot(kind="bar", color="skyblue")

    plt.title("Most Used Windows/Apps")

    plt.xlabel("Window Title")

    plt.ylabel("Active Window Count")

    plt.xticks(rotation=45, ha="right")

    plt.tight_layout()

    plt.show()

if __name__ == "__main__":

    df = track_screen_time(TRACK_DURATION_MINUTES, INTERVAL_SECONDS)

    generate_report(LOG_FILE)