AI Interview Coach

Intelligent technical interview preparation with real-time AI feedback and role-based questions

Role-Based Questions

Tailored questions for Data Scientists, Software Engineers, and GenAI roles

Real-time Scoring

Instant AI feedback with multi-dimensional performance analysis

Interactive Sessions

Choose 2-50 questions with early quit and flexible session management

RAG-Powered

170+ curated questions with intelligent retrieval and context matching

Try the AI Interview Coach

Experience intelligent technical interview coaching with personalized feedback

Demo Version (Live)

Lightweight cloud-optimized version for quick demonstration

Cloud deployment with HuggingFace embeddingsOpen Full Screen

Full Version (Repository)Complete

Full-featured version with local LLMs, advanced embeddings, and report generation

Advanced Features

Local Ollama LLM integration
Sentence-transformers embeddings
ChromaDB vector database
Detailed report generation (PDF/HTML/JSON)
Advanced analytics and charts
Local deployment capabilities
View Full Repository

Technical Architecture

Demo Version Stack

Chainlit + FastAPI
Groq API (Llama 3-8B)
HuggingFace Embeddings
FAISS Vector Search
Railway Deployment

Full Version Stack

Local Ollama LLMs
Sentence-Transformers
ChromaDB Integration
Matplotlib + Pandas
Docker Ready

Core Features

170+ Interview Questions
Multi-dimensional Scoring
Real-time Feedback
Session Management
RAG-based Q&A

Demo vs Full Version

Demo Version Benefits

Instantly accessible via web
No local setup required
Cloud-optimized for speed
Reduced resource requirements
Real-time scoring and feedback

Full Version Advantages

Complete privacy (local deployment)
Advanced report generation with charts
Unlimited usage (no API costs)
Customizable with your data
Enterprise-ready features

AI Interview Coach - Production Ready

This AI Interview Coach demonstrates enterprise-level technical interview automation. Built with modern AI technologies including RAG, vector databases, and real-time scoring algorithms. The system supports multiple engineering roles with intelligent question selection and comprehensive performance analysis.

Demo Source CodeFull Version