README.md

---
title: Coverletter Generator
emoji: ⚡
colorFrom: blue
colorTo: gray
sdk: streamlit
sdk_version: 1.43.2
app_file: app.py
pinned: false
---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

# Job Application Assistant

[![Streamlit](https://img.shields.io/badge/Streamlit-FF4B4B?style=for-the-badge&logo=Streamlit&logoColor=white)](https://streamlit.io)
[![MIT License](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)

A Streamlit-based toolkit to streamline job applications. Includes email/cover letter generation, resume analysis, interview prep, and more.

## Table of Contents

- [Features](#features)
- [Installation](#installation)
- [Configuration](#configuration)
- [Usage](#usage)
- [Modules](#modules)
- [Contributing](#contributing)
- [License](#license)

## Features 🚀

| Tool                     | Description                                                                 |
|--------------------------|-----------------------------------------------------------------------------|
| **Email Generator**      | Create personalized cold emails using job postings and resumes.             |
| **Cover Letter Creator**| Generate tailored cover letters for specific roles.                         |
| **Resume Analyzer**      | Extract skills, ATS keyword suggestions, and visualize work experience.     |
| **Application Tracker**  | Manage job applications with a dashboard.                                   |
| **Job Recommendations**  | Get curated listings from Remotive, The Muse, and Indeed.                   |
| **Interview Prep**       | Practice with AI-generated mock questions and answers.                      |

## Installation 🛠️

### 1. Clone the Repository:
```bash
git clone https://github.com/your-username/job-application-assistant.git
cd job-application-assistant
```

### 2. Create a Virtual Environment (Optional):
```
python -m venv venv
source venv/bin/activate  # Linux/Mac
# venv\Scripts\activate  # Windows
```

### 3. Install Dependencies:
```
pip install -r requirements.txt
```

### Configuration ⚙️
Create a .streamlit/secrets.toml file with your API keys:

[GROQ_API_KEY]
value = "your_groq_api_key"

[RAPIDAPI_KEY]
value = "your_rapidapi_key"

[YOUTUBE_API_KEY]
value = "your_youtube_api_key"

## Usage ▶️
Run the app:
```
streamlit run app.py
and Access at
http://localhost:8501
```