AI-Powered-Mock-Interview-Platform4

1. Project Overview

📌 Objective

To develop an AI-powered Mock Interview Platform that provides real-time feedback on candidate responses, leveraging Google Gemini AI, Vertex AI, and Big Data technologies. This system aims to simulate real-world interviews, analyze responses, and provide actionable feedback to improve communication, confidence, and technical skills.

🎯 Key Features

✅ AI-Generated Interview Questions (Personalized per role and experience level)

✅ Real-Time AI Feedback on Responses (NLP-based evaluation)

✅ Speech & Facial Emotion Analysis (Assess confidence, clarity, and engagement)

✅ AI Follow-up Questions (Mimics real recruiter conversations)

✅ Resume Analysis & Job Readiness Score (ATS-friendly feedback)

✅ Big Data Insights & Performance Tracking (Trend analytics using Spark & BigQuery)

✅ Scalable Deployment with Vertex AI Pipelines (Automated model retraining)

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2. Tech Stack & Tools

Component	Technology
Frontend	React.js, TailwindCSS
Backend	Flask/FastAPI
Database	Google BigQuery, Firestore, MongoDB
Cloud Storage	Google Cloud Storage (GCS)
AI/ML Models	Google Gemini AI, Vertex AI (AutoML NLP & Vision)
Speech Analysis	Google Cloud Speech-to-Text API
Facial Emotion Analysis	Vertex AI AutoML Vision
Big Data Processing	Apache Spark (PySpark), Kafka, BigQuery ML
Model Deployment	Vertex AI Endpoints, Cloud Run
Automation	Vertex AI Pipelines, Apache Airflow

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3. System Architecture

🔹 Data Flow

1️⃣ User starts mock interview → Frontend captures audio/video.

2️⃣ Speech & video streamed via Kafka → Stored in Google Cloud Storage.

3️⃣ Speech-to-Text API converts responses → Sent to Gemini AI for analysis.

4️⃣ Gemini AI evaluates answers → Scores clarity, confidence, correctness.

5️⃣ Facial emotion detected using Vertex AI AutoML Vision → Scores engagement level.

6️⃣ Google BigQuery stores results → Apache Spark analyzes trends over time.

7️⃣ Feedback provided via AI dashboard → Shows real-time improvement insights.

🔹 High-Level Architecture Diagram

[Frontend (React.js)]  -->  [Backend (Flask/FastAPI)]
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[Google Speech-to-Text API]      [Google Cloud Storage (Video, Text)]
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[Gemini AI (NLP, Chatbot)]  -->  [Vertex AI (AutoML Vision for Facial Analysis)]
        |                          |
[BigQuery (Analytics)]  -->  [Google Data Studio (Visualization)]

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