GetLanded — PrepMentor (AI Career Assistant & Voice Pipeline)

Your intelligent co-pilot for every job application with Real-Time Voice-to-Voice capabilities

Overview • Features • Tech Stack • Project Structure • Setup Instructions • Support

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🎯 Overview

GetLanded PrepMentor is a powerful career application engineered to revolutionize your job search experience. Integrating a real-time voice conversation system where users speak naturally and receive AI-generated voice responses with minimal delay, it acts as a comprehensive AI career assistant that prepares you for job interviews and applications with ultra-low latency conversational AI.

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✨ Features

🎙️ Real-Time Voice-to-Voice Pipeline

• Ultra-Low Latency: 1.2s - 2.0s end-to-end response time using a streaming sentence-level pipeline.
• Smart Turn-taking: Natural conversation flow with Voice Activity Detection (VAD).
• Architecture: Full-Duplex WebSockets for continuous audio streams.

🧠 AI-Powered Career Capabilities

• Resume Matching & Insights: Analyzes your resume against job requirements in real-time to provide actionable feedback.
• AI Cover Letter Generator: Powered by Google Gemini AI for natural, professional writing tailored to each job.
• Visa Sponsorship Verification: Instantly checks if a company sponsors work visas like H-1B, OPT, etc.
• AI Autofill for Applications: Intelligently fills out application forms using parsed details from your resume.
• Smart Job Scraping: Automatically extracts job details from platforms like LinkedIn and Indeed.

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🧰 Tech Stack

Component	Stack
Backend	FastAPI, Python, Silero VAD, Faster-Whisper (STT), Gemini Flash (LLM), Kokoro-82M (TTS)
Frontend	React, Next.js, Vite, TypeScript, TailwindCSS

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🏗️ Project Structure

• backend/: Contains the FastAPI application and audio processing services.
• frontend/: Contains the React/Next.js/Vite client interface.

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📦 Setup Instructions

Backend Setup

1. Navigate to the backend directory:

   cd backend

2. Create a virtual environment and activate it:

   python -m venv .venv
   .venv\Scripts\activate  # Windows
   # source .venv/bin/activate  # macOS / Linux

3. Install the dependencies based on requirements.txt:

   pip install -r requirements.txt

4. Run the development server:

   uvicorn main:app --reload

Frontend Setup

1. Navigate to the frontend directory:

   cd frontend

2. Install npm dependencies:

   npm install

3. Start the development server:

   npm run dev

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🤝 Contributing

We welcome contributions! Please follow these steps:

1. Fork the repository
2. Create a feature branch: git checkout -b feature/amazing-feature
3. Commit your changes: git commit -m 'Add amazing feature'
4. Push to the branch: git push origin feature/amazing-feature
5. Open a Pull Request

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📄 License

This project is proprietary software owned by GetLanded. All rights reserved.

For licensing inquiries, please contact: support@getlanded.io

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📞 Support

• Website: https://getlanded.io
• Documentation: https://docs.getlanded.io
• Email: support@getlanded.io

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Made with ❤️ by the GetLanded Team

_{© 2024-2026 GetLanded. All rights reserved.}