EvalYou — AI-Powered Interview Evaluation Platform

EvalYou is an AI-powered mock interview platform that analyzes a candidate’s communication skills, confidence, body language, and answer quality using Speech AI, Computer Vision, and Natural Language Processing.

The platform simulates realistic interview environments and generates detailed performance reports and personalized improvement suggestions to help candidates prepare for real interviews.

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Key Features

AI Interview Evaluation

EvalYou records interview responses and analyzes multiple behavioral and communication signals to generate a detailed evaluation report.

The system evaluates:

• Communication clarity
• Speaking confidence
• Body language signals
• Answer quality
• Response structure and relevance

Each interview generates structured feedback and improvement suggestions.

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Role-Based Interview Simulation

Users can practice interviews based on their target role and experience level.

Supported interview types include:

• Software Development Engineer (SDE)
• Data Analyst
• Product Manager
• HR Interviews
• Behavioral Interviews

The platform dynamically selects questions relevant to the chosen role and evaluates answers accordingly.

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Speech Analysis

The platform evaluates multiple voice metrics to measure communication effectiveness.

Speech analysis includes:

• filler word detection (umm, uhh, like)
• speaking speed analysis
• pause and hesitation detection
• voice stability
• articulation clarity

These insights help identify nervous speaking patterns and improve delivery.

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Body Language Analysis

Computer vision techniques are used to analyze non-verbal interview behavior.

Body language evaluation includes:

• eye contact detection
• facial expression analysis
• posture tracking
• distraction detection
• head movement analysis

These signals contribute to the overall confidence score.

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Content Quality Evaluation

Natural Language Processing evaluates the structure and relevance of answers.

The system analyzes:

• answer relevance to the question
• STAR method structure detection
• vocabulary richness
• repetition detection
• grammar and fluency

This ensures answers are both confident and well structured.

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Interview Performance Dashboard

After each interview session, the platform generates a detailed performance dashboard including:

• Overall Interview Score
• Communication Score
• Confidence Score
• Body Language Score
• Content Quality Score

Interactive analytics help users understand their performance patterns.

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Progress Tracking

EvalYou tracks improvement across multiple interviews.

Users can monitor:

• reduction in filler words
• improvement in speaking clarity
• increased confidence score
• overall performance trends

This helps candidates measure improvement over time.

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System Architecture

Frontend (Next.js + TypeScript)

• Interview interface
• Dashboard and analytics
• Role selection and onboarding

Backend (Python AI Services)

• Speech analysis
• Computer vision analysis
• NLP answer evaluation
• Interview scoring engine

Database

• Interview session storage
• performance analytics
• user progress tracking

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Quick Start

Prerequisites

• Node.js ≥ 18
• Python ≥ 3.10
• npm or yarn

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Clone Repository

git clone https://github.com/Anushka2805/evalYou.git
cd evalYou

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Backend Setup

cd backend

python -m venv venv

# Windows
venv\Scripts\activate

# Mac/Linux
source venv/bin/activate

pip install -r requirements.txt

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Run Backend

cd backend
python -m uvicorn main:app --reload

Backend runs on

http://127.0.0.1:8000

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Frontend Setup

npm install

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Run Frontend

npm run dev

Frontend runs on

http://localhost:3000

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Project Structure

evalYou
│
├── app
│   ├── (app)
│   │   ├── analyzing
│   │   ├── coach
│   │   ├── dashboard
│   │   ├── interview
│   │   ├── new-interview
│   │   ├── reports
│   │   ├── results
│   │   └── settings
│   │
│   ├── auth
│   ├── onboarding
│   └── layout.tsx
│
├── components
│   ├── Navbar.tsx
│   ├── Sidebar.tsx
│   ├── FeatureCard.tsx
│   ├── StatCard.tsx
│   └── PageTransition.tsx
│
├── store
│
├── backend
│   ├── main.py
│   ├── config.py
│   ├── database.py
│   ├── models.py
│   ├── schemas.py
│   │
│   ├── whisper_utils.py
│   ├── audio_utils.py
│   ├── voice_metrics.py
│   ├── body_metrics.py
│   ├── answer_metrics.py
│   │
│   ├── auth.py
│   ├── crud.py
│   ├── repositories.py
│   └── users_repo.py
│
├── public
├── package.json
├── requirements.txt
└── README.md

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Technology Stack

Frontend

• Next.js
• TypeScript
• TailwindCSS
• Framer Motion

Backend

• Python
• FastAPI / Flask
• OpenCV
• Librosa
• NumPy

AI / ML

• Whisper Speech Recognition
• Computer Vision Models
• NLP Analysis

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Example Interview Output

After completing an interview session, EvalYou generates structured results.

Overall Interview Score: 78%

Communication Score: 74
Confidence Score: 81
Body Language Score: 69
Content Quality Score: 80

Analytics include:

• confidence timeline
• filler word frequency
• eye contact percentage
• answer quality insights

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Author

Anushka Aggarwal

EvalYou was built to help candidates improve interview performance through AI-powered analysis and structured feedback.

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