feat: interview review module with whisper.cpp ASR + AI analysis + frontend page

New backend module 'interview-review' provides:
- Audio upload (50MB limit, MP3/M4A/WAV/AAC/OGG/MP4/WebM)
- Text transcript submission
- whisper.cpp local ASR integration (tiny + base models)
- AI analysis (4-dimension scoring: logic/expression/professionalism/stability)
- Speech analysis (filler words detection, pace, duration)
- Async processing pipeline with status polling
- Graceful fallback to mock ASR when whisper unavailable

New frontend page 'pages/review/review.vue' with 3 modes:
- List mode: review history with status indicators
- Upload mode: audio file upload or text paste
- Report mode: score radar, dimension bars, analysis details

Docs updated: PROJECT-STATUS.md v4.4, FEATURE-LIST.md v4.2, ROADMAP.md v4.2

backend/src/modules/interview-review/interview-review.schema.ts

@@ -0,0 +1,79 @@
+import { Prop, Schema, SchemaFactory } from '@nestjs/mongoose'
+import { Document, Types } from 'mongoose'
+
+export type InterviewReviewDocument = InterviewReview & Document
+
+@Schema({ timestamps: true })
+export class InterviewReview {
+  @Prop({ type: Types.ObjectId, ref: 'User', required: true })
+  userId: Types.ObjectId
+
+  @Prop({ required: true })
+  position: string
+
+  @Prop({ default: '' })
+  company: string
+
+  @Prop({ default: 'processing' })
+  status: 'processing' | 'completed' | 'failed'
+
+  @Prop({ type: Object, default: null })
+  audioFile?: {
+    hash: string
+    filePath: string
+    duration: number
+    size: number
+    mimeType: string
+  }
+
+  @Prop({ type: Object, default: null })
+  transcript?: {
+    fullText: string
+    segments: {
+      startTime: number
+      endTime: number
+      speaker: 'interviewer' | 'candidate'
+      text: string
+    }[]
+  }
+
+  @Prop({ type: Object, default: null })
+  analysis?: {
+    overallScore: number
+    dimensions: {
+      logic: number
+      expression: number
+      professionalism: number
+      stability: number
+    }
+    strengths: string[]
+    weaknesses: string[]
+    suggestions: string[]
+    questionBreakdown: {
+      question: string
+      answer: string
+      score: number
+      comment: string
+      suggestedAnswer: string
+    }[]
+  }
+
+  @Prop({ type: Object, default: null })
+  speechAnalysis?: {
+    fillerWords: { word: string; count: number }[]
+    fillerScore: number
+    fillerDensity: number
+    pace: string
+    totalDuration: number
+    totalChars: number
+  }
+
+  @Prop({ default: 0 })
+  retryCount: number
+
+  readonly createdAt?: Date
+  readonly updatedAt?: Date
+}
+
+export const InterviewReviewSchema = SchemaFactory.createForClass(InterviewReview)
+InterviewReviewSchema.index({ userId: 1, createdAt: -1 })