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RK9
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πŸš€ Automate This: An AI-Powered Personal Assistant for Daily Tasks

πŸ”Ή Overview

As a college student, I often repeat small but time-consuming tasksβ€”opening apps every morning, organizing files, or sending messages. What if an AI-powered assistant could learn my habits and suggest automations?

Automate This is an open-source AI assistant that:
βœ… Observes & Learns user behavior (with consent).
βœ… Executes Natural Language Commands (text/voice).
βœ… Triggers Events (time, location, device state).
βœ… Suggests Automations instead of forcing them.
βœ… Prioritizes Security with local data processing.

✨ How It Works

πŸ” 1. Observation and Learning Phase

The app detects patterns in how I use my device and suggests automations.
Example:

If I open Email, Calendar, and Tasks every morning at 9 AM, it asks:
"Would you like me to open these apps automatically at 9:00 AM?"

πŸ›  2. Natural Language Commands

Users can ask the assistant to perform tasks.
Example:

"Move all PDFs from Downloads to Documents." βœ…

"Send β€˜I’ll be late’ to John on WhatsApp." βœ…

⏳ 3. Event-Triggered Automations

Actions can be triggered by time, location, or device state.
Example:

At 6:00 PM, start a workout playlist and open a fitness app.

πŸ€– 4. Pattern-Based Suggestions

If I frequently lower brightness & enable Do Not Disturb during online meetings, it suggests:
β€œWould you like me to automate this for future calls?”

πŸ›  Tech Stack

Language: Python / JavaScript

NLP Engine: spaCy, OpenAI Whisper, Hugging Face Transformers

Automation APIs: Apple Shortcuts, Android Intents, Windows Task Scheduler

Framework: Electron (desktop) / React Native (mobile)

🌍 Use Cases

Auto-sort PDFs in file management.

Send WhatsApp messages via voice commands.

Start Spotify & fitness app at workout time.

Reduce brightness & enable DND in video calls.

πŸ“Œ Get Involved

I’m a college student exploring automation. If you’re also interested, join me in building Automate This as an open-source project!

πŸ”— GitHub Repo: I'll share soon
πŸ’¬ Let’s Discuss: Drop your thoughts in the comments!

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