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README.md
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sdk: streamlit
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sdk_version: 1.
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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colorFrom: blue
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colorTo: gray
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sdk: streamlit
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sdk_version: 1.43.2
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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# Job Application Assistant
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[](https://streamlit.io)
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[](https://opensource.org/licenses/MIT)
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A Streamlit-based toolkit to streamline job applications. Includes email/cover letter generation, resume analysis, interview prep, and more.
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## Table of Contents
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- [Features](#features)
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- [Installation](#installation)
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- [Configuration](#configuration)
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- [Usage](#usage)
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- [Modules](#modules)
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- [Contributing](#contributing)
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- [License](#license)
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## Features 🚀
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| Tool | Description |
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|--------------------------|-----------------------------------------------------------------------------|
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| **Email Generator** | Create personalized cold emails using job postings and resumes. |
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| **Cover Letter Creator**| Generate tailored cover letters for specific roles. |
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| **Resume Analyzer** | Extract skills, ATS keyword suggestions, and visualize work experience. |
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| **Application Tracker** | Manage job applications with a dashboard. |
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| **Job Recommendations** | Get curated listings from Remotive, The Muse, and Indeed. |
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| **Interview Prep** | Practice with AI-generated mock questions and answers. |
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## Installation 🛠️
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### 1. Clone the Repository:
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```bash
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git clone https://github.com/your-username/job-application-assistant.git
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cd job-application-assistant
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```
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### 2. Create a Virtual Environment (Optional):
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```
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python -m venv venv
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source venv/bin/activate # Linux/Mac
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# venv\Scripts\activate # Windows
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```
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### 3. Install Dependencies:
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```
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pip install -r requirements.txt
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```
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### Configuration ⚙️
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Create a .streamlit/secrets.toml file with your API keys:
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[GROQ_API_KEY]
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value = "your_groq_api_key"
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[RAPIDAPI_KEY]
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value = "your_rapidapi_key"
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[YOUTUBE_API_KEY]
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value = "your_youtube_api_key"
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## Usage ▶️
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Run the app:
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```
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streamlit run app.py
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and Access at
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http://localhost:8501
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```
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