Mayvk

Inspiration

Online interviews have become increasingly common for internships and job applications, especially for students. However, many people feel nervous or intimidated when speaking to a screen instead of a real person. Without face-to-face feedback, it is difficult to know how confident or natural we sound.

We wanted to build a tool that helps students practice online interviews in a safer environment, where AI can provide feedback and help them improve their communication skills.

What it does

Mayvk is an AI-powered interview practice platform designed to help students prepare for online interviews.

Users can simulate interview conversations through audio chat. The system analyzes responses using sentiment and language analysis to provide feedback on tone, confidence, and communication style.

This allows students to practice answering questions and better understand how their responses may be perceived during a real interview.

How we built it

We built Mayvk using a full-stack architecture. The frontend provides an interface where users can practice interview conversations in real time. The backend manages communication and processes messages through WebSocket connections for instant interaction.

For the AI component, we integrated natural language processing models to analyze user responses and detect sentiment and communication patterns. This allows the system to provide feedback that helps users improve their interview performance.

Challenges we ran into

The time for development is very limited - we need to finish it within 48 hours. One of the main challenges was combining real-time communication with AI processing. We needed to ensure that analysis could happen quickly enough so that the conversation still felt natural.

Accomplishments that we're proud of

We built a working prototype that allows users to simulate interview conversations and receive AI-powered feedback.

Within a limited timeframe, we successfully integrated real-time communication with AI analysis and created a system that demonstrates how technology can support interview preparation for students.

What we learned

Through this project, we learned how to integrate AI models into applications and how to design systems that combine user interaction with machine learning analysis.

We also learned how important user experience is when building tools that support learning and confidence building.

What's next for Mayvk

In the future, we plan to expand Mayvk into a more complete interview preparation platform.

Possible improvements include voice-based interview simulations, more advanced AI feedback on communication skills, and personalized interview question sets for different industries.

Our goal is to help students feel more confident and prepared before entering real online interviews.

Built With

• nextjs
• node.js
• websockets