MockAI – AI-Powered Interview Evaluation System

Research-oriented AI interview evaluation platform focused on multimodal analysis using speech recognition, NLP, and facial emotion detection to assess communication, confidence, and interview performance.

Overview

MockAI is a Final Year Project designed to simulate and evaluate interview performance using artificial intelligence and machine learning workflows.

The system combines speech-to-text processing, NLP-based answer evaluation, and facial emotion analysis to generate intelligent interview feedback and performance insights.

The project focuses on modular AI architecture, multimodal processing pipelines, and scalable evaluation workflows.

Current Status

MockAI is currently under active development as a research-oriented AI system focused on intelligent interview evaluation workflows and multimodal analysis.

Features

AI Interview Evaluation

• AI-assisted mock interview workflows
• Automated performance evaluation
• Intelligent scoring and feedback generation
• Communication and confidence assessment

NLP & Speech Processing

• Speech-to-text conversion
• NLP-based answer analysis
• Semantic evaluation workflows
• Context-aware response assessment

Facial Emotion Detection

• Facial expression analysis
• Emotion recognition workflows
• Confidence and stress-level estimation
• Real-time facial analysis pipeline

Reporting & Analytics

• Interview performance reports
• Evaluation score generation
• Feedback visualization workflows
• Analytical performance insights

Current Modules

• Speech-to-Text Processing
• NLP-Based Answer Evaluation
• Facial Emotion Detection
• Interview Scoring Engine
• Feedback Report Generation

Research Focus

• Multimodal AI systems
• NLP-driven evaluation workflows
• Emotion recognition systems
• AI-assisted interview analysis
• Human-computer interaction workflows

Engineering Highlights

• Modular AI system architecture
• Multimodal processing pipeline
• NLP and computer vision integration
• Structured backend workflows
• Maintainable project organization
• AI-driven evaluation engine design

Screenshots

Tech Stack

Frontend

• React.js
• Tailwind CSS

Backend

• FastAPI
• Python

AI & Machine Learning

• BERT
• DeepFace
• OpenCV
• SpeechRecognition

Database & Tools

• MongoDB
• Git & GitHub
• Postman

Architecture

User Interview Input
        ↓
Speech-to-Text Processing
        ↓
NLP Analysis (BERT)
        ↓
Facial Emotion Detection (DeepFace)
        ↓
Scoring & Evaluation Engine
        ↓
Feedback Report Generation

Installation

Clone Repository

git clone https://github.com/syedasjadabbas/MockAI.git

Backend Setup

cd backend
pip install -r requirements.txt
uvicorn main:app --reload

Frontend Setup

cd frontend
npm install
npm run dev

Project Structure

MockAI/
├── frontend/                 # React frontend
├── backend/                  # FastAPI backend
├── ai-models/                # AI/ML modules
├── datasets/                 # Training/testing data
├── assets/                   # Banner and assets
└── README.md

Future Improvements

• Real-time interview analytics
• Advanced scoring algorithms
• Cloud deployment workflows
• AI recommendation engine
• Expanded multimodal evaluation pipeline

Author

SYED ASJAD ABBAS