Parlez AI 🎙️

The Virtual Interviewer Powered by LLM

Parlez AI is a sophisticated mock interview platform designed to bridge the gap between exam preparation and professional interview readiness. While students have access to endless mock tests for written exams, they often lack the opportunity to practice real-time interviews with experienced professionals. Parlez AI solves this by providing a high-fidelity, virtual interviewer that mimics real-world job expectations.

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🚀 The Problem

Preparing for public or job-related exams is streamlined through mock papers designed by experts. However, interview preparation remains a challenge due to:

• Availability: Finding experienced interviewers for mock sessions is difficult.
• Time Constraints: Coordinating schedules with mentors is often impossible.
• Lack of Realism: Generic practice doesn't account for specific Job Descriptions (JD).

✨ The Solution

Parlez AI introduces a Virtual Interviewer powered by Large Language Models (LLM).

• Knowledge-Based: Trained to act as a highly experienced professor or industry professional.
• JD-Specific: Users provide a Job Description and company expectations, allowing the AI to function as a specialized interviewer for that specific role.
• Serious Environment: Designed to maintain the professional gravity of a real interview, ensuring candidates are truly "job-ready."

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📺 Watch the Demo

Click the image above to see the Parlez AI interface and interview flow in action.

🛠️ Technology Stack

Frontend

• Framework: Next.js
• UI Components: ShadCN
• Theme: Professional Monochrome (Black & White)

Backend

• Framework: Django Rest Framework (DRF)
• Language: Python
• Architecture: Robust, scalable RESTful APIs

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📦 Getting Started

Prerequisites

• Node.js (v18+)
• Python (v3.10+)
• An API Key for your chosen LLM (e.g., OpenAI/Anthropic)

Installation

1. Clone the repository

   git clone [https://github.com/yourusername/parlez-ai.git](https://github.com/yourusername/parlez-ai.git)
   elite-ai

2. Backend Setup

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   pip install -r requirements.txt
   python manage.py migrate
   python manage.py runserver

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🎯 Key Features

• JD Parsing: Upload a job description to customize the interview's difficulty and focus.
• Real-time Feedback: (Optional/Future) Get insights into your answers immediately after the session.
• Unlimited Practice: No time limits—practice until you feel confident.