Nervo

Inspiration

We noticed that many students and early-career developers struggle with interview preparation. Most tools focus on static questions, but real interviews are dynamic, conversational, and often stressful. We wanted to build something that feels like a real interviewer and helps users practice in a more realistic and interactive way. This inspired Navo AI.

What it does

Navo AI is an AI-powered interview practice assistant that simulates real interview sessions.

Users can:

Enter a role (e.g., Frontend Developer, Data Analyst)
Input their skills and experience
Start a live AI interview session
Receive role-based, dynamic questions
Respond in real time like a conversation
Get AI-generated feedback on their answers and performance

It mimics a real interview environment to help users improve confidence, communication, and technical readiness.

How we built it

We built Navo AI as a conversational AI system using modern web technologies and AI integration.

The core system includes:

A frontend interface for role input and interview session
A conversational AI engine that acts as an interviewer
Prompt engineering to generate role-specific questions
A feedback system that evaluates responses and provides improvement suggestions
Real-time chat-like interaction to simulate a live interview experience

The design focuses on making the experience feel like a real call/interview session.

Challenges we ran into

One of the biggest challenges was making the AI feel natural and realistic like a human interviewer rather than a chatbot. We also worked on structuring dynamic question flow based on roles and experience levels. Ensuring smooth real-time conversation without breaking context was another key challenge.

Accomplishments that we're proud of

We are proud of building an AI system that can simulate real interview conversations in a structured and interactive way. Creating a role-aware interview flow and feedback system that adapts to user responses is a major achievement.

What we learned

We learned how to design conversational AI systems, how to structure prompts for dynamic response generation, and how to simulate real-world scenarios using AI. We also improved our understanding of user experience design for real-time interactive systems.