🚀 Developer Environment Optimizer

An interactive Streamlit application that analyzes your development environment and provides actionable recommendations to optimize it for better efficiency and performance, powered by Google's Gemini AI model.

Features
Installation
Usage
Environment Variables
Requirements
Contributing

Features

System Analysis: Collects detailed system information including CPU, memory, disk usage, GPU stats, and running processes.
AI-Powered Recommendations: Generates optimization recommendations using Google's Gemini AI model.
IDE Settings Optimization: Applies recommended changes to your IDE settings (e.g., Visual Studio Code). (Work in Progress)
Interactive UI: User-friendly interface built with Streamlit, including tabs for system info, recommendations, and processes.
Process Monitoring: Displays running processes and their resource usage.

Installation

Clone the Repository

git clone https://github.com/anubhab-m02/dev-env-optimizer.git
cd dev-env-optimizer

Create a Virtual Environment (Optional but Recommended)

python3 -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`

Install Dependencies
```
pip install -r requirements.txt
```
If requirements.txt is not available, install dependencies manually:
```
pip install streamlit psutil pandas dotenv google-generativeai
```
Optional dependencies for GPU and screen info:
```
pip install GPUtil screeninfo
```

Usage

Set Up Environment Variables

Create a .env file in the project root directory and add your Gemini AI API key:
```
GEMINI_API_KEY=your_gemini_ai_api_key_here
```
Run the Application
```
streamlit run main.py
```
Navigate the App
- Run Analysis: Click on "Run Analysis" in the sidebar to analyze your system.
- View Recommendations: Go to the "💡 Recommendations" tab to see AI-generated suggestions.
- Apply Recommendations: Click on "Apply Recommendations to IDE Settings" to update your IDE settings.
- Refresh Analysis: Click on "Refresh Analysis" to reset and start a new analysis.

Environment Variables

GEMINI_API_KEY: Your Gemini AI API key. Obtain it from Google Generative AI.

Requirements

Python 3.7 or higher
Operating System: Windows, macOS, or Linux
IDE Supported: Visual Studio Code (modify paths if using a different IDE)

Contributing

Contributions are welcome! Please follow these steps:

Fork the repository.

Create your feature branch:

git checkout -b feature/your-feature-name

Commit your changes:
```
git commit -m 'Add some feature'
```

Push to the branch:

git push origin feature/your-feature-name

Open a pull request.

anubhab-m02/dev-env-optimizer