AI INTERVIEW COACH

# AI Interview Coach — Full-Stack AI-Powered Interview Preparation Platform

## Project Overview

AI Interview Coach is a full-stack web application designed to help job seekers improve their interview skills through structured mock interviews, role-specific questions, answer feedback, and interview performance analysis.

The platform provides an interactive interview preparation experience for students, fresh graduates, job seekers, and professionals preparing for technical or non-technical roles. It combines a modern web interface with a Python-based backend to deliver an accessible, browser-based interview practice solution.

The complete project is available for acquisition, including its source code and an agreed technical handover.

## Key Features

**1. Role-Based Interview Preparation**
- Practice interviews tailored to specific job roles.
- Prepare for different career paths and interview requirements.
- Use role-relevant questions to simulate interview scenarios.

**2. Interactive Mock Interviews**
- Follow a guided interview practice workflow.
- Submit answers and progress through interview questions.
- Practise explaining technical concepts and professional experiences.

**3. Answer Feedback**
- Receive feedback on submitted interview answers.
- Identify areas where responses can be improved.
- Use feedback to develop clearer and more effective interview responses.

**4. Interview Performance Analytics**
- Review interview session results and performance information.
- Understand areas that may require additional preparation.
- Use previous practice sessions to guide further improvement.

**5. Interview History**
- Access supported interview history and session information.
- Review previous practice activity where saved data is available.

**6. AI-Powered Capabilities**
- Supports optional OpenAI-powered functionality, depending on configuration.
- Can be adapted to different interview preparation workflows and target audiences.

**7. Modern Web Application**
- Responsive frontend architecture built with React, TypeScript, and Vite.
- Python FastAPI backend for API-based communication.
- SQLite database support for application data.
- API documentation available through FastAPI's Swagger interface.

## Technology Stack

- **Frontend:** React, TypeScript, Vite
- **Backend:** Python, FastAPI
- **Database:** SQLite
- **AI integration:** Optional OpenAI API functionality
- **Deployment:** Vercel for the frontend and Render for the backend

## Live Demo

Frontend: https://ai-interview-coach-fullstack.vercel.app/

Backend API: https://ai-interview-coach-fullstack.onrender.com/

API documentation: https://ai-interview-coach-fullstack.onrender.com/docs

## Potential Business Applications

The project can serve as a foundation for:

- AI interview preparation platforms
- College placement training solutions
- Career coaching and employability services
- Recruitment and HR technology products
- Technical interview practice platforms
- EdTech products offering job-readiness training

A buyer can evaluate the existing implementation and decide how to extend it for their intended business model.

## What the Buyer Receives

Subject to a written agreement, the sale can include:

- Project source code
- Existing frontend and backend implementation
- Available project documentation
- Setup and deployment guidance
- Technical handover support as agreed
- Agreed intellectual-property rights, subject to third-party licences and dependencies

Hosting accounts, API credentials, third-party subscriptions, and other external services are not automatically included and can be discussed separately.

## Reason for Sale

The project is being offered for sale so that another developer, entrepreneur, or company can take over the existing implementation and continue developing it into a product aligned with their business needs.

## Asking Price

**₹19,999 — negotiable**

The final price and transfer terms can be discussed with serious buyers.

Interested buyers are welcome to explore the live demo and contact me to discuss the codebase, existing functionality, and handover process.