Deploy AI Interview Coach to HF Spaces

.gitattributes

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Dockerfile

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+FROM node:20-slim
+
+WORKDIR /app
+
+# Build frontend
+COPY frontend/package*.json frontend/
+RUN cd frontend && npm install
+
+COPY frontend/ frontend/
+RUN cd frontend && npm run build
+
+# Setup backend
+COPY backend/package*.json backend/
+RUN cd backend && npm install --production
+
+COPY backend/ backend/
+
+# Copy built frontend to backend/public
+RUN cp -r frontend/dist backend/public
+
+ENV PORT=7860
+EXPOSE 7860
+
+WORKDIR /app/backend
+CMD ["node", "server.js"]

README.md

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+---
+title: AI Interview Coach
+emoji: "\U0001F3A4"
+colorFrom: blue
+colorTo: purple
+sdk: docker
+pinned: false
+---
+
+# AI Interview Coach
+Practice job interviews with AI. Get real-time feedback and a final assessment report.

backend/.env.example

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+# AI Provider - Choose one (or both for fallback)
+# Option 1: Groq (FREE cloud API - recommended for deployment)
+# Get your free key at https://console.groq.com/keys
+GROQ_API_KEY=your_groq_api_key_here
+GROQ_MODEL=llama-3.3-70b-versatile
+
+# Option 2: Ollama (FREE local AI - great for development)
+# Install from https://ollama.com then run: ollama pull llama3.2:3b
+OLLAMA_URL=http://localhost:11434
+OLLAMA_MODEL=llama3.2:3b
+
+# Server
+PORT=3002

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+        "https://github.com/sponsors/ctavan"
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+      "bin": {
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+      "license": "MIT",
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+  }
+}

backend/package.json

@@ -0,0 +1,16 @@
+{
+  "name": "interview-coach-backend",
+  "version": "1.0.0",
+  "description": "AI Interview Coach API",
+  "main": "server.js",
+  "scripts": {
+    "start": "node server.js",
+    "dev": "node server.js"
+  },
+  "dependencies": {
+    "cors": "^2.8.5",
+    "dotenv": "^16.4.7",
+    "express": "^4.21.2",
+    "uuid": "^11.0.5"
+  }
+}

backend/routes/interview.js

@@ -0,0 +1,143 @@
+const express = require('express');
+const { v4: uuidv4 } = require('uuid');
+const { generateQuestions, evaluateAnswer, generateFinalReport } = require('../services/ai');
+
+const router = express.Router();
+
+// In-memory session store
+const sessions = new Map();
+
+// POST /api/interview/start - Start a new interview session
+router.post('/start', async (req, res) => {
+  try {
+    const { role, difficulty, interviewType, questionCount } = req.body;
+
+    if (!role) {
+      return res.status(400).json({ error: 'Role is required' });
+    }
+
+    const count = Math.min(Math.max(questionCount || 5, 3), 10);
+    const data = await generateQuestions(
+      role,
+      difficulty || 'medium',
+      interviewType || 'mixed',
+      count
+    );
+
+    const sessionId = uuidv4();
+    sessions.set(sessionId, {
+      role,
+      difficulty: difficulty || 'medium',
+      interviewType: interviewType || 'mixed',
+      questions: data.questions,
+      answers: [],
+      currentIndex: 0,
+      startedAt: new Date().toISOString()
+    });
+
+    // Clean old sessions (older than 2 hours)
+    const twoHoursAgo = Date.now() - 2 * 60 * 60 * 1000;
+    for (const [id, session] of sessions) {
+      if (new Date(session.startedAt).getTime() < twoHoursAgo) {
+        sessions.delete(id);
+      }
+    }
+
+    res.json({
+      sessionId,
+      totalQuestions: data.questions.length,
+      currentQuestion: data.questions[0],
+      role,
+      difficulty: difficulty || 'medium'
+    });
+  } catch (err) {
+    console.error('Start error:', err);
+    res.status(500).json({ error: err.message || 'Failed to start interview' });
+  }
+});
+
+// POST /api/interview/answer - Submit an answer
+router.post('/answer', async (req, res) => {
+  try {
+    const { sessionId, answer } = req.body;
+
+    if (!sessionId || !answer) {
+      return res.status(400).json({ error: 'sessionId and answer are required' });
+    }
+
+    const session = sessions.get(sessionId);
+    if (!session) {
+      return res.status(404).json({ error: 'Session not found or expired' });
+    }
+
+    const currentQ = session.questions[session.currentIndex];
+    const evaluation = await evaluateAnswer(
+      session.role,
+      currentQ.question,
+      answer,
+      session.difficulty
+    );
+
+    session.answers.push({
+      question: currentQ.question,
+      answer,
+      score: evaluation.score,
+      evaluation
+    });
+
+    session.currentIndex++;
+
+    const isComplete = session.currentIndex >= session.questions.length;
+    const nextQuestion = isComplete ? null : session.questions[session.currentIndex];
+
+    res.json({
+      evaluation,
+      isComplete,
+      nextQuestion,
+      progress: {
+        answered: session.currentIndex,
+        total: session.questions.length
+      }
+    });
+  } catch (err) {
+    console.error('Answer error:', err);
+    res.status(500).json({ error: err.message || 'Failed to evaluate answer' });
+  }
+});
+
+// GET /api/interview/report/:sessionId - Get final report
+router.get('/report/:sessionId', async (req, res) => {
+  try {
+    const session = sessions.get(req.params.sessionId);
+    if (!session) {
+      return res.status(404).json({ error: 'Session not found or expired' });
+    }
+
+    if (session.answers.length < session.questions.length) {
+      return res.status(400).json({ error: 'Interview not complete yet' });
+    }
+
+    const report = await generateFinalReport(session.role, session.answers);
+
+    res.json({
+      report,
+      details: session.answers.map(a => ({
+        question: a.question,
+        answer: a.answer,
+        score: a.score,
+        feedback: a.evaluation.feedback
+      })),
+      meta: {
+        role: session.role,
+        difficulty: session.difficulty,
+        type: session.interviewType,
+        duration: session.startedAt
+      }
+    });
+  } catch (err) {
+    console.error('Report error:', err);
+    res.status(500).json({ error: err.message || 'Failed to generate report' });
+  }
+});
+
+module.exports = router;

backend/server.js

@@ -0,0 +1,29 @@
+const express = require('express');
+const cors = require('cors');
+const dotenv = require('dotenv');
+const path = require('path');
+const interviewRoutes = require('./routes/interview');
+
+dotenv.config();
+
+const app = express();
+const PORT = process.env.PORT || 3002;
+
+app.use(cors());
+app.use(express.json());
+
+app.use('/api/interview', interviewRoutes);
+
+app.get('/api/health', (req, res) => {
+  res.json({ status: 'ok', service: 'interview-coach' });
+});
+
+app.use(express.static(path.join(__dirname, 'public')));
+
+app.get('*', (req, res) => {
+  res.sendFile(path.join(__dirname, 'public', 'index.html'));
+});
+
+app.listen(PORT, () => {
+  console.log(`Interview Coach API running on port ${PORT}`);
+});

backend/services/ai.js

@@ -0,0 +1,80 @@
+const GROQ_API_KEY = process.env.GROQ_API_KEY;
+const OLLAMA_URL = process.env.OLLAMA_URL || 'http://localhost:11434';
+const GROQ_MODEL = process.env.GROQ_MODEL || 'llama-3.3-70b-versatile';
+const OLLAMA_MODEL = process.env.OLLAMA_MODEL || 'llama3.2:3b';
+
+async function callAI(prompt) {
+  if (GROQ_API_KEY) {
+    const res = await fetch('https://api.groq.com/openai/v1/chat/completions', {
+      method: 'POST',
+      headers: { 'Content-Type': 'application/json', 'Authorization': `Bearer ${GROQ_API_KEY}` },
+      body: JSON.stringify({ model: GROQ_MODEL, messages: [{ role: 'user', content: prompt }], temperature: 0.7 }),
+    });
+    if (res.ok) { const data = await res.json(); return data.choices[0].message.content; }
+    console.warn('Groq failed, falling back to Ollama...');
+  }
+  const res = await fetch(`${OLLAMA_URL}/api/generate`, {
+    method: 'POST',
+    headers: { 'Content-Type': 'application/json' },
+    body: JSON.stringify({ model: OLLAMA_MODEL, prompt, stream: false }),
+  });
+  if (!res.ok) throw new Error('Both Groq and Ollama failed. Set GROQ_API_KEY or start Ollama.');
+  return (await res.json()).response;
+}
+
+function parseJSON(text) {
+  try { return JSON.parse(text.trim()); }
+  catch { const m = text.match(/\{[\s\S]*\}/); if (m) return JSON.parse(m[0]); throw new Error('Failed to parse AI response'); }
+}
+
+const DIFFICULTY_MAP = {
+  easy: 'Ask straightforward, common interview questions. Be encouraging.',
+  medium: 'Ask standard industry interview questions with some follow-ups. Be professional.',
+  hard: 'Ask challenging, senior-level questions with tricky follow-ups. Probe deeply into answers.'
+};
+const INTERVIEW_TYPES = {
+  behavioral: 'Focus on behavioral questions (STAR method).',
+  technical: 'Focus on technical knowledge, system design, problem-solving.',
+  mixed: 'Mix behavioral and technical questions naturally.'
+};
+
+async function generateQuestions(role, difficulty, interviewType, count = 5) {
+  const text = await callAI(`You are an expert interviewer for ${role} positions.
+DIFFICULTY: ${difficulty} - ${DIFFICULTY_MAP[difficulty] || DIFFICULTY_MAP.medium}
+TYPE: ${interviewType} - ${INTERVIEW_TYPES[interviewType] || INTERVIEW_TYPES.mixed}
+
+Generate exactly ${count} interview questions. Return ONLY valid JSON:
+{"questions":[{"id":1,"question":"<question>","category":"<behavioral|technical|situational>","hint":"<hint>"}]}
+
+Return ONLY JSON, no markdown.`);
+  return parseJSON(text);
+}
+
+async function evaluateAnswer(role, question, answer, difficulty) {
+  const text = await callAI(`You are an expert interviewer evaluating a candidate for a ${role} position.
+QUESTION: ${question}
+CANDIDATE'S ANSWER: ${answer}
+DIFFICULTY: ${difficulty}
+
+Return ONLY valid JSON:
+{"score":<1-10>,"feedback":"<2-3 sentences>","strengths":["<strength>"],"improvements":["<suggestion 1>","<suggestion 2>"],"sampleAnswer":"<strong example answer>"}
+
+Return ONLY JSON, no markdown.`);
+  return parseJSON(text);
+}
+
+async function generateFinalReport(role, questionsAndAnswers) {
+  const qaPairs = questionsAndAnswers.map((qa, i) => `Q${i+1}: ${qa.question}\nAnswer: ${qa.answer}\nScore: ${qa.score}/10`).join('\n\n');
+  const text = await callAI(`You are an expert interviewer writing a final assessment for a ${role} candidate.
+
+INTERVIEW TRANSCRIPT:
+${qaPairs}
+
+Return ONLY valid JSON:
+{"overallScore":<1-100>,"verdict":"<STRONG_HIRE|HIRE|MAYBE|NO_HIRE>","summary":"<3-4 sentences>","topStrengths":["<s1>","<s2>","<s3>"],"areasToImprove":["<a1>","<a2>","<a3>"],"recommendation":"<2-3 sentences>","readinessLevel":"<Not Ready|Getting There|Almost Ready|Interview Ready>"}
+
+Return ONLY JSON, no markdown.`);
+  return parseJSON(text);
+}
+
+module.exports = { generateQuestions, evaluateAnswer, generateFinalReport };

frontend/index.html

@@ -0,0 +1,13 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+  <meta charset="UTF-8" />
+  <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+  <title>AI Interview Coach</title>
+  <link rel="icon" type="image/svg+xml" href="data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 100 100'><text y='.9em' font-size='90'>🎤</text></svg>" />
+</head>
+<body>
+  <div id="root"></div>
+  <script type="module" src="/src/main.jsx"></script>
+</body>
+</html>

frontend/package-lock.json

@@ -0,0 +1,1773 @@
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+  "name": "interview-coach-frontend",
+  "version": "1.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
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+      "name": "interview-coach-frontend",
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+        "react-dom": "^19.0.0"
+      },
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+        "tsx": {
+          "optional": true
+        },
+        "yaml": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/yallist": {
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+      "dev": true,
+      "license": "ISC"
+    }
+  }
+}

frontend/package.json

@@ -0,0 +1,19 @@
+{
+  "name": "interview-coach-frontend",
+  "version": "1.0.0",
+  "private": true,
+  "type": "module",
+  "scripts": {
+    "dev": "vite",
+    "build": "vite build",
+    "preview": "vite preview"
+  },
+  "dependencies": {
+    "react": "^19.0.0",
+    "react-dom": "^19.0.0"
+  },
+  "devDependencies": {
+    "@vitejs/plugin-react": "^4.3.4",
+    "vite": "^6.0.0"
+  }
+}

frontend/src/App.jsx

@@ -0,0 +1,109 @@
+import React, { useState } from 'react';
+import Setup from './components/Setup';
+import Interview from './components/Interview';
+import Report from './components/Report';
+import { startInterview, submitAnswer, getReport } from './utils/api';
+
+export default function App() {
+  const [phase, setPhase] = useState('setup'); // setup | interview | report
+  const [loading, setLoading] = useState(false);
+  const [error, setError] = useState('');
+  const [sessionId, setSessionId] = useState(null);
+  const [currentQuestion, setCurrentQuestion] = useState(null);
+  const [progress, setProgress] = useState({ answered: 0, total: 0 });
+  const [lastEval, setLastEval] = useState(null);
+  const [reportData, setReportData] = useState(null);
+
+  const handleStart = async ({ role, difficulty, interviewType, questionCount }) => {
+    setLoading(true);
+    setError('');
+    try {
+      const data = await startInterview(role, difficulty, interviewType, questionCount);
+      setSessionId(data.sessionId);
+      setCurrentQuestion(data.currentQuestion);
+      setProgress({ answered: 0, total: data.totalQuestions });
+      setLastEval(null);
+      setPhase('interview');
+    } catch (err) {
+      setError(err.message);
+    }
+    setLoading(false);
+  };
+
+  const handleAnswer = async (answer) => {
+    setLoading(true);
+    setError('');
+    try {
+      const data = await submitAnswer(sessionId, answer);
+      setLastEval(data.evaluation);
+      setProgress(data.progress);
+
+      if (data.isComplete) {
+        // Small delay to show last evaluation before report
+        setTimeout(async () => {
+          try {
+            const report = await getReport(sessionId);
+            setReportData(report);
+            setPhase('report');
+          } catch (err) {
+            setError(err.message);
+          }
+          setLoading(false);
+        }, 3000);
+      } else {
+        setCurrentQuestion(data.nextQuestion);
+        setLoading(false);
+      }
+    } catch (err) {
+      setError(err.message);
+      setLoading(false);
+    }
+  };
+
+  const handleReset = () => {
+    setPhase('setup');
+    setSessionId(null);
+    setCurrentQuestion(null);
+    setLastEval(null);
+    setReportData(null);
+    setError('');
+  };
+
+  return (
+    <div className="app">
+      <header className="header">
+        <h1>AI Interview Coach</h1>
+        <p>Practice interviews. Get real feedback. Land the job.</p>
+      </header>
+
+      {error && (
+        <div style={{ background: 'rgba(225,112,85,0.1)', padding: '1rem', borderRadius: '10px', marginBottom: '1rem', textAlign: 'center', color: 'var(--danger)' }}>
+          {error}
+        </div>
+      )}
+
+      {phase === 'setup' && <Setup onStart={handleStart} loading={loading} />}
+
+      {phase === 'interview' && currentQuestion && (
+        <Interview
+          question={currentQuestion}
+          progress={progress}
+          onSubmit={handleAnswer}
+          evaluation={lastEval}
+          loading={loading}
+        />
+      )}
+
+      {phase === 'interview' && loading && !currentQuestion && (
+        <div className="loading">
+          <div className="spinner" />
+          <p>Generating your final report...</p>
+        </div>
+      )}
+
+      {phase === 'report' && reportData && (
+        <Report data={reportData} onReset={handleReset} />
+      )}
+    </div>
+  );
+}

frontend/src/components/Interview.jsx

@@ -0,0 +1,85 @@
+import React, { useState } from 'react';
+
+function scoreClass(score) {
+  if (score >= 7) return 'good';
+  if (score >= 4) return 'ok';
+  return 'bad';
+}
+
+export default function Interview({ question, progress, onSubmit, evaluation, loading }) {
+  const [answer, setAnswer] = useState('');
+
+  const handleSubmit = () => {
+    if (answer.trim().length >= 10) {
+      onSubmit(answer.trim());
+      setAnswer('');
+    }
+  };
+
+  const pct = (progress.answered / progress.total) * 100;
+
+  return (
+    <div className="interview-panel">
+      <div className="progress-bar">
+        <span className="progress-text">Q{progress.answered + 1}/{progress.total}</span>
+        <div className="progress-track">
+          <div className="progress-fill" style={{ width: `${pct}%` }} />
+        </div>
+      </div>
+
+      <div className="question-card">
+        <div className="q-label">{question.category} Question</div>
+        <div className="q-text">{question.question}</div>
+        {question.hint && <div className="q-hint">Hint: {question.hint}</div>}
+      </div>
+
+      {evaluation && (
+        <div className="eval-card">
+          <div className={`eval-score ${scoreClass(evaluation.score)}`}>
+            {evaluation.score}/10
+          </div>
+          <p className="eval-feedback">{evaluation.feedback}</p>
+
+          {evaluation.strengths?.length > 0 && (
+            <div className="eval-section strengths">
+              <h4>Strengths</h4>
+              <ul>{evaluation.strengths.map((s, i) => <li key={i}>{s}</li>)}</ul>
+            </div>
+          )}
+
+          {evaluation.improvements?.length > 0 && (
+            <div className="eval-section improvements">
+              <h4>How to improve</h4>
+              <ul>{evaluation.improvements.map((s, i) => <li key={i}>{s}</li>)}</ul>
+            </div>
+          )}
+
+          {evaluation.sampleAnswer && (
+            <div className="sample-answer">
+              <h4>Strong answer example</h4>
+              <p>{evaluation.sampleAnswer}</p>
+            </div>
+          )}
+        </div>
+      )}
+
+      <div className="answer-area">
+        <textarea
+          placeholder="Type your answer here... (minimum 10 characters)"
+          value={answer}
+          onChange={(e) => setAnswer(e.target.value)}
+          disabled={loading}
+        />
+        <div className="char-count">{answer.length} characters</div>
+      </div>
+
+      <button
+        className="btn-primary"
+        onClick={handleSubmit}
+        disabled={answer.trim().length < 10 || loading}
+      >
+        {loading ? 'Evaluating...' : 'Submit Answer'}
+      </button>
+    </div>
+  );
+}

frontend/src/components/Report.jsx

@@ -0,0 +1,66 @@
+import React from 'react';
+
+function scoreClass(score) {
+  if (score >= 70) return 'good';
+  if (score >= 40) return 'ok';
+  return 'bad';
+}
+
+export default function Report({ data, onReset }) {
+  const { report, details, meta } = data;
+
+  return (
+    <div className="report">
+      <div className="report-header">
+        <div className={`report-score ${scoreClass(report.overallScore)}`}>
+          {report.overallScore}
+        </div>
+        <div className="score-label" style={{ color: 'var(--text-dim)' }}>Overall Score</div>
+        <div className={`verdict ${report.verdict}`}>{report.verdict.replace('_', ' ')}</div>
+        <div className="readiness">{report.readinessLevel}</div>
+      </div>
+
+      <div className="report-card">
+        <h3>Summary</h3>
+        <p className="report-summary">{report.summary}</p>
+      </div>
+
+      <div className="report-card strengths">
+        <h3>Top Strengths</h3>
+        <ul>{report.topStrengths.map((s, i) => <li key={i}>{s}</li>)}</ul>
+      </div>
+
+      <div className="report-card improve">
+        <h3>Areas to Improve</h3>
+        <ul>{report.areasToImprove.map((a, i) => <li key={i}>{a}</li>)}</ul>
+      </div>
+
+      <div className="report-card">
+        <h3>Recommendation</h3>
+        <p className="report-summary">{report.recommendation}</p>
+      </div>
+
+      <div className="report-card">
+        <h3>Question-by-Question Breakdown</h3>
+        {details.map((d, i) => (
+          <div key={i} style={{ marginTop: '1rem', paddingTop: '1rem', borderTop: i > 0 ? '1px solid var(--border)' : 'none' }}>
+            <p style={{ fontWeight: 600, marginBottom: '0.3rem' }}>Q{i + 1}: {d.question}</p>
+            <p style={{ color: 'var(--text-dim)', fontSize: '0.9rem', marginBottom: '0.3rem' }}>
+              Your answer: {d.answer.substring(0, 150)}{d.answer.length > 150 ? '...' : ''}
+            </p>
+            <p style={{ fontSize: '0.9rem' }}>
+              Score: <span style={{ fontWeight: 700, color: d.score >= 7 ? 'var(--success)' : d.score >= 4 ? 'var(--warning)' : 'var(--danger)' }}>
+                {d.score}/10
+              </span>
+              {' - '}{d.feedback}
+            </p>
+          </div>
+        ))}
+      </div>
+
+      <button className="btn-secondary" onClick={onReset}>
+        Start New Interview
+      </button>
+    </div>
+  );
+}

frontend/src/components/Setup.jsx

@@ -0,0 +1,63 @@
+import React, { useState } from 'react';
+
+export default function Setup({ onStart, loading }) {
+  const [role, setRole] = useState('');
+  const [difficulty, setDifficulty] = useState('medium');
+  const [interviewType, setInterviewType] = useState('mixed');
+  const [questionCount, setQuestionCount] = useState(5);
+
+  const handleStart = () => {
+    if (role.trim()) {
+      onStart({ role: role.trim(), difficulty, interviewType, questionCount });
+    }
+  };
+
+  return (
+    <div className="setup-card">
+      <div className="form-group">
+        <label>Target Role</label>
+        <input
+          type="text"
+          placeholder="e.g., Senior Software Engineer, Product Manager, Data Scientist..."
+          value={role}
+          onChange={(e) => setRole(e.target.value)}
+        />
+      </div>
+
+      <div className="form-row">
+        <div className="form-group">
+          <label>Difficulty</label>
+          <select value={difficulty} onChange={(e) => setDifficulty(e.target.value)}>
+            <option value="easy">Easy - Entry level</option>
+            <option value="medium">Medium - Mid level</option>
+            <option value="hard">Hard - Senior level</option>
+          </select>
+        </div>
+        <div className="form-group">
+          <label>Interview Type</label>
+          <select value={interviewType} onChange={(e) => setInterviewType(e.target.value)}>
+            <option value="mixed">Mixed</option>
+            <option value="behavioral">Behavioral</option>
+            <option value="technical">Technical</option>
+          </select>
+        </div>
+      </div>
+
+      <div className="form-group">
+        <label>Number of Questions ({questionCount})</label>
+        <input
+          type="range"
+          min="3"
+          max="10"
+          value={questionCount}
+          onChange={(e) => setQuestionCount(Number(e.target.value))}
+          style={{ width: '100%', accentColor: 'var(--accent)' }}
+        />
+      </div>
+
+      <button className="btn-primary" onClick={handleStart} disabled={!role.trim() || loading}>
+        {loading ? 'Preparing interview...' : 'Start Interview'}
+      </button>
+    </div>
+  );
+}

frontend/src/main.jsx

@@ -0,0 +1,10 @@
+import React from 'react';
+import ReactDOM from 'react-dom/client';
+import App from './App';
+import './styles/global.css';
+
+ReactDOM.createRoot(document.getElementById('root')).render(
+  <React.StrictMode>
+    <App />
+  </React.StrictMode>
+);

frontend/src/styles/global.css

@@ -0,0 +1,262 @@
+* { margin: 0; padding: 0; box-sizing: border-box; }
+
+:root {
+  --bg: #0a0a1a;
+  --bg-card: #131332;
+  --accent: #6c5ce7;
+  --accent-light: #a29bfe;
+  --success: #00b894;
+  --warning: #fdcb6e;
+  --danger: #e17055;
+  --text: #eee;
+  --text-dim: #999;
+  --border: #2d2d5e;
+}
+
+body {
+  font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+  background: var(--bg);
+  color: var(--text);
+  min-height: 100vh;
+}
+
+.app { max-width: 800px; margin: 0 auto; padding: 2rem 1.5rem; }
+
+.header { text-align: center; margin-bottom: 2rem; }
+.header h1 {
+  font-size: 2.2rem;
+  font-weight: 800;
+  background: linear-gradient(135deg, #6c5ce7, #a29bfe, #00b894);
+  -webkit-background-clip: text;
+  -webkit-text-fill-color: transparent;
+  background-clip: text;
+}
+.header p { color: var(--text-dim); margin-top: 0.4rem; }
+
+/* Setup Form */
+.setup-card {
+  background: var(--bg-card);
+  border-radius: 16px;
+  padding: 2rem;
+}
+
+.form-group { margin-bottom: 1.2rem; }
+.form-group label {
+  display: block;
+  font-size: 0.85rem;
+  color: var(--text-dim);
+  margin-bottom: 0.4rem;
+}
+.form-group input, .form-group select {
+  width: 100%;
+  padding: 0.7rem 1rem;
+  background: var(--bg);
+  border: 1px solid var(--border);
+  border-radius: 10px;
+  color: var(--text);
+  font-size: 1rem;
+}
+
+.form-row { display: grid; grid-template-columns: 1fr 1fr; gap: 1rem; }
+
+.btn-primary {
+  width: 100%;
+  padding: 1rem;
+  margin-top: 1rem;
+  background: linear-gradient(135deg, #6c5ce7, #a29bfe);
+  border: none;
+  border-radius: 12px;
+  color: white;
+  font-size: 1.1rem;
+  font-weight: 700;
+  cursor: pointer;
+  transition: transform 0.2s;
+}
+.btn-primary:hover { transform: translateY(-1px); }
+.btn-primary:disabled { opacity: 0.5; cursor: not-allowed; transform: none; }
+
+/* Interview Chat */
+.interview-panel { }
+
+.progress-bar {
+  display: flex;
+  align-items: center;
+  gap: 0.8rem;
+  margin-bottom: 1.5rem;
+  padding: 0.8rem 1rem;
+  background: var(--bg-card);
+  border-radius: 12px;
+}
+.progress-track {
+  flex: 1;
+  height: 8px;
+  background: var(--border);
+  border-radius: 4px;
+  overflow: hidden;
+}
+.progress-fill {
+  height: 100%;
+  background: linear-gradient(90deg, #6c5ce7, #00b894);
+  transition: width 0.5s ease;
+  border-radius: 4px;
+}
+.progress-text { font-size: 0.85rem; color: var(--text-dim); white-space: nowrap; }
+
+.question-card {
+  background: var(--bg-card);
+  border-radius: 16px;
+  padding: 1.5rem;
+  margin-bottom: 1.5rem;
+  border-left: 4px solid var(--accent);
+}
+.question-card .q-label {
+  font-size: 0.8rem;
+  color: var(--accent-light);
+  text-transform: uppercase;
+  letter-spacing: 1px;
+  margin-bottom: 0.5rem;
+}
+.question-card .q-text { font-size: 1.15rem; line-height: 1.5; }
+.question-card .q-hint {
+  margin-top: 0.8rem;
+  font-size: 0.85rem;
+  color: var(--text-dim);
+  font-style: italic;
+}
+
+.answer-area textarea {
+  width: 100%;
+  min-height: 150px;
+  padding: 1rem;
+  background: var(--bg-card);
+  border: 1px solid var(--border);
+  border-radius: 12px;
+  color: var(--text);
+  font-size: 1rem;
+  resize: vertical;
+  line-height: 1.5;
+}
+.answer-area textarea:focus { outline: none; border-color: var(--accent); }
+
+.char-count {
+  text-align: right;
+  font-size: 0.8rem;
+  color: var(--text-dim);
+  margin-top: 0.3rem;
+}
+
+/* Evaluation */
+.eval-card {
+  background: var(--bg-card);
+  border-radius: 16px;
+  padding: 1.5rem;
+  margin: 1rem 0;
+  animation: slideIn 0.4s ease;
+}
+@keyframes slideIn {
+  from { opacity: 0; transform: translateY(10px); }
+  to { opacity: 1; transform: translateY(0); }
+}
+
+.eval-score {
+  font-size: 2rem;
+  font-weight: 800;
+  text-align: center;
+  margin-bottom: 0.5rem;
+}
+.eval-score.good { color: var(--success); }
+.eval-score.ok { color: var(--warning); }
+.eval-score.bad { color: var(--danger); }
+
+.eval-feedback { color: var(--text-dim); line-height: 1.5; margin-bottom: 1rem; text-align: center; }
+
+.eval-section { margin-top: 0.8rem; }
+.eval-section h4 { font-size: 0.9rem; margin-bottom: 0.4rem; }
+.eval-section ul { list-style: none; padding: 0; }
+.eval-section li { padding: 0.3rem 0; padding-left: 1.2rem; position: relative; color: var(--text-dim); font-size: 0.9rem; }
+.eval-section li::before { position: absolute; left: 0; }
+.eval-section.strengths li::before { content: "✅"; }
+.eval-section.improvements li::before { content: "💡"; }
+
+.sample-answer {
+  margin-top: 1rem;
+  padding: 1rem;
+  background: rgba(0, 184, 148, 0.08);
+  border-radius: 8px;
+  border-left: 3px solid var(--success);
+}
+.sample-answer h4 { color: var(--success); margin-bottom: 0.4rem; font-size: 0.9rem; }
+.sample-answer p { color: var(--text-dim); font-size: 0.9rem; line-height: 1.5; }
+
+/* Report */
+.report { animation: slideIn 0.5s ease; }
+.report-header {
+  text-align: center;
+  padding: 2rem;
+  background: var(--bg-card);
+  border-radius: 16px;
+  margin-bottom: 1.5rem;
+}
+.report-score { font-size: 4rem; font-weight: 800; }
+.report-score.good { color: var(--success); }
+.report-score.ok { color: var(--warning); }
+.report-score.bad { color: var(--danger); }
+
+.verdict {
+  display: inline-block;
+  padding: 0.3rem 1rem;
+  border-radius: 20px;
+  font-weight: 700;
+  font-size: 0.9rem;
+  margin-top: 0.5rem;
+}
+.verdict.STRONG_HIRE { background: rgba(0,184,148,0.2); color: var(--success); }
+.verdict.HIRE { background: rgba(0,184,148,0.15); color: var(--success); }
+.verdict.MAYBE { background: rgba(253,203,110,0.2); color: var(--warning); }
+.verdict.NO_HIRE { background: rgba(225,112,85,0.2); color: var(--danger); }
+
+.report-card {
+  background: var(--bg-card);
+  border-radius: 16px;
+  padding: 1.5rem;
+  margin-bottom: 1rem;
+}
+.report-card h3 { margin-bottom: 0.8rem; }
+.report-card ul { list-style: none; padding: 0; }
+.report-card li { padding: 0.4rem 0; padding-left: 1.5rem; position: relative; color: var(--text-dim); }
+.report-card li::before { position: absolute; left: 0; }
+.report-card.strengths li::before { content: "💪"; }
+.report-card.improve li::before { content: "📈"; }
+
+.report-summary { color: var(--text-dim); line-height: 1.6; margin-top: 0.5rem; }
+.readiness { text-align: center; margin-top: 0.8rem; font-size: 1.1rem; }
+
+.btn-secondary {
+  display: block;
+  margin: 2rem auto 0;
+  padding: 0.8rem 2rem;
+  background: transparent;
+  border: 2px solid var(--accent);
+  border-radius: 12px;
+  color: var(--accent);
+  font-size: 1rem;
+  cursor: pointer;
+}
+.btn-secondary:hover { background: var(--accent); color: white; }
+
+/* Loading */
+.loading { text-align: center; padding: 2rem; }
+.spinner {
+  width: 40px; height: 40px;
+  border: 4px solid var(--border);
+  border-top-color: var(--accent);
+  border-radius: 50%;
+  animation: spin 1s linear infinite;
+  margin: 0 auto 1rem;
+}
+@keyframes spin { to { transform: rotate(360deg); } }
+
+@media (max-width: 600px) {
+  .form-row { grid-template-columns: 1fr; }
+  .header h1 { font-size: 1.6rem; }
+}

frontend/src/utils/api.js

@@ -0,0 +1,27 @@
+const API = '/api/interview';
+
+export async function startInterview(role, difficulty, interviewType, questionCount) {
+  const res = await fetch(`${API}/start`, {
+    method: 'POST',
+    headers: { 'Content-Type': 'application/json' },
+    body: JSON.stringify({ role, difficulty, interviewType, questionCount }),
+  });
+  if (!res.ok) throw new Error((await res.json()).error);
+  return res.json();
+}
+
+export async function submitAnswer(sessionId, answer) {
+  const res = await fetch(`${API}/answer`, {
+    method: 'POST',
+    headers: { 'Content-Type': 'application/json' },
+    body: JSON.stringify({ sessionId, answer }),
+  });
+  if (!res.ok) throw new Error((await res.json()).error);
+  return res.json();
+}
+
+export async function getReport(sessionId) {
+  const res = await fetch(`${API}/report/${sessionId}`);
+  if (!res.ok) throw new Error((await res.json()).error);
+  return res.json();
+}

frontend/vite.config.js

@@ -0,0 +1,12 @@
+import { defineConfig } from 'vite';
+import react from '@vitejs/plugin-react';
+
+export default defineConfig({
+  plugins: [react()],
+  server: {
+    port: 3000,
+    proxy: {
+      '/api': 'http://localhost:3002'
+    }
+  }
+});