AUTOMATED-SYSTEM-MAINTENANCE-AND-CLEANUP-TOOL

A Python-based desktop utility that automates routine system cleanup tasks—like deleting temporary files, empty folders, and recycle bin contents—while ensuring data safety through whitelist protection and email-based confirmation.

🚀 Features

• ✅ Scheduled Cleanup: Run automatic cleanups on custom days and times.
• 📧 Email Confirmation: Sends a confirmation email before cleanup; proceeds only on “YES” reply.
• 🧾 Whitelist Protection: Never deletes user-defined critical files or folders.
• 📈 Disk Usage Reporting: See storage saved before and after each cleanup.
• 🔔 Desktop Notifications: Instant feedback after completion or cancellation.
• 🖥️ User-Friendly GUI: Configure schedule, whitelist, and email in a Tkinter interface.
• 🧰 Cross-Platform Support: Works on both Windows and Linux systems.

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🛠️ Technologies Used

• Python 3.x
• Tkinter – GUI
• psutil, plyer, schedule, smtplib, imaplib, json, threading

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📷 Screenshots

⚙️ How to Run

1. Clone the Repository

   git clone https://github.com/your-username/your-repo-name.git
   cd your-repo-name

2.Install Required Libraries

   pip install psutil plyer schedule
python main.py

Make sure to set up your Gmail app password for sending emails (due to 2FA).

🧾Configuration

Email sender/receiver Whitelist file Scheduled day and time Stored in config.json

🛡️Safety First

This tool never performs cleanup without user confirmation via email. You stay in full control with features like: Email prompts Manual "Stop Cleanup" button Whitelist enforcement

📌 Future Scope

Cloud-based cleanup scheduling AI-based cleanup suggestions Voice assistant or chatbot interface Remote control via web dashboard

👨‍💻 Developed By

P. Thirupathi Reddy M. Amani P. Akshitha R. Ramana V. Nikitha

Guided by

Mr. E. Satish Babu, Assistant Professor, Dept. of CSE, Jyothishmathi Institute of Technology and Science

📄 License

This project is for academic demonstration purposes. For reuse or adaptation, please contact the authors.

🔗 References

See the full project report for detailed literature review, architecture, testing, and results.