AI interview coach

InspirationAI Interview Coach is a full-stack web application designed to help students and job seekers prepare for technical interviews more effectively.

Many candidates struggle because they don't know what types of questions to expect or how to evaluate their own answers. Our platform addresses this by generating personalized interview questions based on the user's target role, skills, and experience level. It also provides sample answers, evaluates responses, and tracks interview history so users can monitor their progress over time.

The application is built using Next.js and React for the frontend, deployed on Vercel, with AWS DynamoDB as the backend database for securely storing interview sessions and user history. The architecture is designed to be scalable, responsive, and production-ready, making it suitable for future expansion into a subscription-based interview preparation platform.

Our goal was to demonstrate how AI-assisted development with Vercel v0 combined with AWS Databases enables developers to rapidly build modern, scalable, full-stack applications.

Short Description (if the form has a character limit)

AI Interview Coach is a full-stack interview preparation platform that generates personalized technical interview questions, stores interview history in AWS DynamoDB, and helps users improve through AI-powered practice sessions.

Which AWS Database?

Paste:

AWS DynamoDB was used as the primary database to store user profiles, interview sessions, generated questions, scores, and interview history. DynamoDB was selected because it is serverless, highly scalable, and well-suited for applications that require low-latency access.

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for AI interview coach

Built With

• css
• next
• tailwand