---
title: Smart Interview Simulator
emoji: 🎤
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 6.5.1
python_version: '3.10'
app_file: app.py
pinned: false
---

# 🎤 Smart Interview Simulator (AI Voice Bot)

An AI-powered voice-based mock interview platform built using Speech Recognition and Large Language Models.

This project allows users to simulate a technical interview by answering questions using voice input and receiving structured AI-generated evaluation and feedback.

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## 🚀 Features

- 🎙 Voice-based answer submission
- 🧠 Speech-to-Text using Whisper
- 🤖 AI answer evaluation using Mistral-7B-Instruct via Hugging Face Inference API
- 📊 Structured scoring:
  - Technical Accuracy
  - Clarity
  - Depth
  - Overall Score
- 🎯 Difficulty levels (Easy / Medium / Hard)

---

## 🏗️ System Architecture

User Voice Input  
↓  
Speech Recognition (Whisper)  
↓  
Answer Transcription  
↓  
Prompt Engineering  
↓  
LLM Evaluation  
↓  
Structured Feedback & Score  

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## 🛠️ Tech Stack

- Python
- Gradio
- Transformers
- Hugging Face Inference API
- Whisper (Speech Recognition Model)
- Mistral-7B-Instruct (Large Language Model)

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## 📊 Evaluation Criteria

The AI evaluates answers based on:

- Technical Accuracy (0–10)
- Clarity (0–10)
- Depth (0–10)
- Overall Score (0–10)
- Improvement Suggestions

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## 🔮 Future Improvements

- 📈 Performance analytics dashboard
- 💾 Interview history tracking
- 📄 PDF performance reports
- 🎙 Emotion detection from voice
- 🔄 Follow-up question generation
- 🧑‍💻 Coding interview simulation

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## 🏆 Resume Description

Developed a Voice-Based AI Interview Simulator using Whisper for speech recognition and Mistral-7B via Hugging Face Inference API for intelligent technical answer evaluation and structured scoring.

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## 📜 License

This project is intended for educational and research purposes.