JobAI.Agent

# 🚀 JobAI Hunter Pro

**JobAI Hunter Pro** is an automated C# application designed to scan LinkedIn for job opportunities, analyze them using Gemini AI, and store the results in a local database.

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## ✨ Key Features
* **Automated Scraping:** Uses Selenium with Edge to find relevant job postings.
* **AI Analysis:** Integrates Google Gemini AI to evaluate job descriptions.
* **Voice Notifications:** Includes a `VoiceAssistant` that provides real-time audio feedback.
* **Smart Security:** Validates configuration files and handles API rotation for the Free Tier.
* **Database Integration:** Saves all leads in a structured format for easy tracking.
 **Smart Login & 2FA:** Automated LinkedIn authentication with built-in Two-Factor Authentication (2FA) support and a 2-minute security timeout.
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## 🛠 Tech Stack

* **Language:** C# (.NET 8/9)
* **Automation:** Selenium WebDriver (Microsoft Edge)
* **AI Engine:** Google Gemini API
* **Database:** SQLite
* **Configuration:** JSON-based secrets management (`appsettings.json`)

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## 📦 Core Dependencies (NuGet Packages)

* **Selenium.WebDriver:** For browser automation.
* **Google.GenerativeAI:** For Gemini AI integration.
* **Newtonsoft.Json:** For robust configuration parsing.
* **Microsoft.Data.Sqlite:** For efficient local data storage.

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## ⚙️ How It Works

The **JobAI Hunter Pro** is designed with a "plug-and-play" architecture, focusing on automation, security, and ease of use.

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### 📁 Core Logic
The core business logic is provided as a compiled library (**JobAI.Core.dll**) located in the `/Libs` folder. 
This ensures the agent can function while keeping the core implementation private.

### 📂 1. Automated Infrastructure
Upon the first launch, the system utilizes a centralized `PathsConfig` engine to:
* **Generate Workspaces**: Automatically creates a secure `temp` directory and a dedicated database folder (`JobAI-DB`).
* **Configuration Scaffolding**: Detects if `appsettings.json` is missing and gener