🤖 AI InterviewSim

AI InterviewSim is a full-stack AI-powered interview simulation platform designed to help candidates prepare for technical and HR interviews. The system mimics a real interview environment with live behavioral analysis, voice interaction, coding assessments, and personalized feedback — all within a modern, interactive UI.

🚀 Features

🎙️ Voice-to-Voice Interview: Interact with an AI recruiter through real-time voice-based Q&A.
🧑‍💻 Coding Round with Live Editor: Practice DSA and technical problems with an integrated editor.
📹 Real-Time Behavioral Analysis: Tracks eye contact, posture, and focus using webcam-based computer vision.
📊 Confidence & Hesitation Scoring: AI analyzes audio/visual cues to score your confidence and fluency.
📝 Interview History & Analytics: Tracks your progress, highlights strengths/weaknesses over time.
📈 Performance Analysis: Detailed feedback after each session, including coding efficiency and soft skills.
🎓 Preparation Guidance: Smart course and topic recommendations based on your interview performance.
🔐 JWT-based Authentication
🧪 CI/CD with GitHub Actions

📸 Screenshots

🎥 Demo Video

🧠 Tech Stack

Backend: FastAPI, LangChain, MongoDB
Frontend: React.js + Vite
Voice: Whisper , SpeechSynthesizer
LLM: Groq (LLaMA 3)
Auth: JWT
CI/CD: GitHub Actions
Containerization: Docker

⚙️ Setup Instructions

Clone this repo:

git clone https://github.com/rahulprajapati08/AI-InterviewSim.git
cd AI-InterviewSim

Create .env file:

MONGO_URL=your_mongo_uri
DB_NAME = your_db_name
DEFAULT_GROQ_API_KEY=your_groq_key

Install Dependencies

cd backend
pip install -r requirements.txt

Run the Server
```
uvicorn app:app --reload --port 5000
```

Frontend (React)

cd ai-interviewsim
 npm install
 npm run dev

🔁 CI/CD

GitHub Actions is configured to:

✅ Install dependencies
🧪 Run unit tests
📦 Build Docker image

🧑‍💻 Author

Rahul Prajapati – @rahulprajapati08

⭐️ Show Your Support

If you liked this project:

⭐ Star the repo
🛠️ Create an issue or PR
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