setup
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IntervAI

IntervAI is an AI-powered mock interview platform that adapts to your performance, asks diverse question types, and gives actionable feedback. It supports multiple AI providers and includes an offline/demo mode so anyone can practice instantly.

Inspiration

Preparing for interviews is stressful and time-consuming. We wanted a tool that feels like a real partner: tailored questions, adaptive difficulty, and constructive feedback, without requiring expensive API keys or complicated setup.

What It Does

Guides you through realistic interview sessions across domains (tech, business, design, etc.). Adapts difficulty based on your previous answers and scores. Mixes question types (conceptual, practical, scenario, coding, behavioral) to simulate real interviews. Provides quick scoring and feedback, plus optional follow-ups that target weak areas. Offers per-question timers and optional stress mode (audio cues) to simulate pressure. Works in offline/demo mode using a rich local question bank (no external APIs needed).

How We Built It

Frontend: React + Vite + Tailwind for fast, modern UI. Backend: FastAPI + Uvicorn serving /interview/* endpoints. Provider support: OpenAI, Anthropic, Google (Gemini), Perplexity, Groq, Together AI. Offline/demo mode: Select any provider and set api_key = demo to use local questions. Adaptive engine: Tracks last score and adjusts difficulty and question type distribution.

Challenges We Ran Into

Provider key validation vs. user flexibility: we added robust inference and safe fallbacks. Handling API failures cleanly: implemented local question generation and error masking. Ensuring frontend-backend alignment: unified config and clear error messages to reduce user confusion.

Accomplishments We’re Proud Of

A polished, resilient interview flow with adaptive difficulty. A helpful offline/demo mode enabling instant practice. Clean UI, better icons, and thoughtful UX details (badges, timers, follow-ups).

What We Learned

Small UX touches (like badges and stress-mode beeps) make practice feel realistic. Clear configuration and helpful error messages significantly reduce setup friction. Building robust fallbacks is essential when relying on third-party APIs.

What’s Next

Rich analytics dashboard with topic-level strengths and areas to improve. More domains, deeper question banks, and coding execution sandboxes. Multi-turn conversations with context memory and richer rubric-based evaluation. One-click cloud deploy and shareable session summaries.

Built With

FastAPI, Uvicorn, Python React, Vite, Tailwind Requests, Axios Docker, Docker Compose

Try It Locally

Backend: cd IntervAI/backend ./venv311/Scripts/python -m pip install -r requirements.txt ./venv311/Scripts/python -m uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload

Frontend: cd IntervAI/frontend npm install npm run dev

Open http://localhost:5173/. On the Setup page, set api_key = demo to start immediately.