🎯 InterviewAce

InterviewAce is a full-stack MERN application designed to streamline job interview preparation and execution. It supports one-to-one, written, and profile-based interviews, leveraging AI for question generation, speech processing, and advanced analytics for answer evaluation, sentiment, and emotion analysis.

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✨ Features

🔐 Authentication

• Secure user authentication with JWT (JSON Web Tokens)

📋 Interview Types

• One-to-One Interviews
• Written Interviews
• Profile-Based Interviews (includes resume and skills analysis via PDF parsing)

🤖 Question Generation

• Powered by Groq API (llama3-70b-8192 model)
• Tailored questions based on:
  • Job role
  • Job type (Full-Time / Intern)
  • Interview mode
• Additionally, Profile-based interviews utilize parsed resume and skills

🎙️ Speech Processing

• Speech-to-text and text-to-speech with Web Speech API

👤 Profile Management

• Dedicated page for user profile updates and career goals

📜 History and Analysis

• Review past interview answers
• Detailed performance breakdown and analytics

✅ Answer Evaluation

• Similarity scoring using Hugging Face sentence-transformers/all-MiniLM-L6-v2

📊 Text Analysis

• Clarity scoring
• Sentiment analysis of responses

😊 Emotion Analysis

• Facial emotion detection via dima806/facial_emotions_image_detection
• Provides:
  • Primary emotion
  • Confidence score
  • Emotional context

🕵️ Proctoring Insights

• Movement detection
• Audio volume monitoring
• Speech clarity evaluation
• Background noise detection
• Lighting quality assessment

📈 Visualizations

• Metrics bar plots and emotion pie charts using Plotly.js

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🛠️ Prerequisites

Make sure you have the following installed:

• Node.js (v14 or higher)
• MongoDB (local or MongoDB Atlas)
• API Keys:
  • Groq API Key from Groq
  • Hugging Face API Key from Hugging Face

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⚙️ Setup Instructions

1. Clone the Repository

git clone https://github.com/your-username/interviewace.git
cd interviewace

2. Install Dependencies

Backend:

cd backend
npm install

Frontend:

cd ../frontend
npm install

3. Configure Environment Variables

Create a .env file in the backend directory with the following:

PORT=5000
MONGO_URI=<your-mongodb-uri>
JWT_SECRET=<your-jwt-secret>
GROQ_API_KEY=<your-groq-api-key>
HF_API_KEY=<your-huggingface-api-key>

4. Start MongoDB

Ensure your MongoDB instance is running locally or accessible via MONGO_URI.

5. Run the Application

Backend:

cd backend
node server.js

Runs at http://localhost:5000

Frontend:

cd ../frontend
npm start

Runs at http://localhost:3000

🌐 Access the App

Visit http://localhost:3000 to use InterviewAce