AI Job Application Assistant 🤖✨

Follow these instructions to get a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

• Node.js (LTS version recommended)
• npm, yarn, or pnpm
• MongoDB instance (local or cloud-hosted, e.g., MongoDB Atlas)

Installation

1. Clone the repository:

   git clone https://github.com/Zaidshaikh2811/AI-Job-Application-Assistant
   cd AI-Job-Application-Assistant

2. Install dependencies:

   npm install
   # or
   yarn install
   # or
   pnpm install

3. Set up Environment Variables: Create a .env.local file in the root of your project and add the necessary environment variables. These might include:

   MONGODB_URI=your_mongodb_connection_string
   GEMINI_API_KEY=your_gemini_api_key
   NEXTAUTH_URL=http://localhost:3000 # If using NextAuth.js
   NEXTAUTH_SECRET=your_nextauth_secret # If using NextAuth.js
   # Add other necessary variables (e.g., email service credentials if `lib/email.ts` is used for sending emails)

   Note: Obtain your Gemini API key from the respective service provider.

4. Run the development server:

   npm run dev
   # or
   yarn dev
   # or
   pnpm dev

   Open http://localhost:3000 with your browser to see the result.

Project Structure

• actions/: Server-side actions and API interactions (e.g., geminiApi.ts, user.ts).
• app/: Contains all the routes, UI, and logic for the application, following the Next.js App Router structure.
  • (home)/: Routes for the main application sections like dashboard, profile, resume.
  • api/: API route handlers.
  • login/, sign-up/: Authentication pages.
• components/: Shared UI components used throughout the application.
  • magicui/: Special animated UI components.
  • templates/: Resume templates.
  • ui/: Core UI elements (buttons, cards, dialogs - likely Shadcn UI).
• context/: React Context providers (e.g., AuthContext.tsx).
• lib/: Utility functions, database models (models/), database connection (mongodb.ts), and type definitions (types/).
• public/: Static assets like images and icons.

How It's Useful

The Career Path Recommender aims to be a comprehensive tool for individuals navigating their career journey. It helps users:

• Organize Professional Information: Keep all career-related data (experience, education, skills) in one place.
• Create Professional Resumes: Quickly generate well-formatted resumes using various templates, saving time and effort.
• Leverage AI for Resume Enhancement: Get AI assistance to craft compelling resume content.
• Explore Career Options: (Intended) Discover potential career paths tailored to their profile and aspirations.
• Prepare for Job Applications: Streamline the process of preparing application materials.

This application is particularly useful for students, recent graduates, job seekers, and anyone looking to make a career change or enhance their professional presentation.

Contributing

Contributions are welcome! If you have suggestions for improvements or want to contribute to the codebase, please feel free to:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/YourFeature).
3. Make your changes.
4. Commit your changes (git commit -m 'Add some feature').
5. Push to the branch (git push origin feature/YourFeature).
6. Open a Pull Request. ======= An AI-powered tool that helps job seekers craft perfect applications by generating tailored resumes, cover letters, and providing interview preparation - all powered by generative AI.

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🚀 Key Features

✍️ AI-Powered Content Generation

• Resume Tailoring: Automatically adapts your resume for specific job descriptions
• Cover Letter Wizard: Generates personalized cover letters in seconds
• ATS Optimization: Ensures your resume beats Applicant Tracking Systems

🎤 Voice & Text Interview Prep

• Role-Specific Questions: Get relevant questions based on your target job
• Voice Practice: Answer naturally using voice input
• AI Feedback: Receive scores and improvement suggestions

📊 Application Management

• Job Tracker: Organize applications with status updates
• Performance Analytics: Track response rates and interview conversions
• Document Storage: Centralized repository for all application materials

🌟 Why This Is Useful

Job hunting is stressful and time-consuming. This tool helps by:

• Saving 5-10 hours per week on application materials
• Increasing interview callback rates with tailored documents
• Improving interview performance through realistic practice
• Reducing application anxiety with AI guidance

🛠️ Tech Stack

Area	Technologies
Frontend	Next.js, Tailwind CSS, ShadCN UI
Backend	Next.js API Routes
AI	Google Gemini, OpenAI API
Database	PostgreSQL (Neon), Drizzle ORM
Auth	Clerk
Deployment	Vercel
Voice	Web Speech API

🏁 Getting Started

Prerequisites

• Node.js v18+
• PostgreSQL database
• API keys for Gemini/OpenAI

Installation

# Clone the repository
git clone https://github.com/Zaidshaikh2811/AI-Job-Application-Assistant.git

# Install dependencies
npm install

# Set up environment variables
cp .env.example .env.local
# Fill in your keys

# Run development server
npm run dev
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