Real-Time Interview Practice Intelligence System
( Prototype Submission)
Problem Statement focuses on the lack of effective, real-time interview practice platforms that can help candidates improve their communication, confidence, and problem-solving skills in a simulated interview environment. Existing solutions are either static, costly, or lack real-time interaction and feedback.
RIPIS-AI is a web-based prototype designed to provide a real-time interview practice environment. The system allows users to simulate interview scenarios, interact with questions, and receive structured responses, helping them prepare more effectively for real-world interviews.
The solution focuses on simplicity, usability, and real-time interaction, making interview preparation more accessible and practical.
This repository contains a functional prototype developed for Round-1 submission.
- Basic web-based interface for interview practice
- Core flow demonstrating real-time interaction
- Structured handling of interview questions and responses
- Deployed working prototype for demonstration
- User authentication and profiles
- Advanced AI-based feedback and analytics
- Performance tracking and reports
- Scalability and optimization
- User accesses the web application
- Interview questions are presented through the interface
- User responds in real-time
- System processes the interaction and displays output
This prototype demonstrates the feasibility of the proposed solution.
- Frontend: Next.js, HTML, CSS, JavaScript
- Backend / Logic: Node.js (integrated with Next.js)
- Tools & Platform: GitHub, Vercel
- Version Control: Git
User → Web Interface → Core Logic → Output / Response
(Simple architecture focused on clarity and performance)
A deployed version of the prototype is available here:
🔗 https://ripis-ai.vercel.app
- Clone the repository
git clone https://github.com/yash-pakhale-07/RIPIS-AI.git