Ace Your Next Tech Interview with Our AI-Driven Mock Interview Tool
Hello, fellow techies! We're all in this game to advance our careers and, let's be honest, earn that sweet "blind money." But here's the million-dollar question: Are you truly ready for your next big interview?
Let's face it – tech interviews can be a rollercoaster of algorithms, system design questions, and those tricky behavioral scenarios. You might think you're prepared, but are you ready for that curveball question about load balancing or that mind-bending coding challenge? If you're feeling even a hint of doubt, you're in the right place.
That's where our AI-powered mock interview tool comes in. I have made this for the hackathon purpose under Hashnode's AI for Tomorrow Hackathon which will be your secret weapon in interview preparation. No more generic questions or outdated scenarios – our AI adapts to your specific needs, whether you're aiming for a junior dev position or gunning for that senior architect role.
How I Built This Tool?
Now, let me tell you how I made this project and what was the tech Stack that I have used here and what are my future plans with it :
Next.js: We chose Next.js as our primary framework for its server-side rendering capabilities and optimized performance. This ensures a smooth, responsive user experience, crucial for maintaining the flow of a mock interview.
TypeScript: To keep our codebase robust and maintainable, we implemented TypeScript. This helped us catch errors early and made our development process more efficient.
Tailwind CSS: For styling, we used Tailwind CSS. Its utility-first approach allowed us to create a sleek, professional interface without getting bogged down in custom CSS.
Prisma: On the backend, we're using Prisma as our ORM. It's given us type-safe database access and made our database queries a breeze to manage.
PostgreSQL: For our database needs, we went with PostgreSQL. Its reliability and support for complex queries make it perfect for storing and retrieving our vast array of interview questions and user data.
Clerk: To handle authentication securely and efficiently, we integrated Clerk. It provides a smooth sign-up and login process, crucial for personalizing the interview experience.
AI Integration: We've integrated a powerful AI model Gemini to generate relevant questions and provide insightful feedback on user responses.
Vercel: For deployment, we chose Vercel. Its seamless integration with Next.js and robust performance make it the perfect home for our application.
Future Improvements: Taking It to the Next Level
While we're thrilled with our current product, the tech world never stands still – and neither do we. Here are some exciting improvements we're considering:
Online Code Editor: We're looking to integrate a code editor similar to VS Code for tackling DSA questions. This will provide a familiar, fully-featured environment for users to write and test their code during mock interviews.
Real-time Video Analysis: Imagine getting feedback not just on what you say, but how you say it. We're exploring AI-powered video analysis to provide insights on body language and presentation skills.
Community Call
As exciting as this project is, I'll be the first to admit – there's still a lot of room for improvement. Like any ambitious project, we're dealing with our fair share of bugs and have a long list of features we'd love to implement. But here's the thing: I firmly believe in the power of community and collaboration in the tech world.
That's why I'm extending an open invitation to all of you brilliant minds out there. Whether you're a seasoned developer or just starting your coding journey, your insights and skills could be invaluable in taking this project to the next level.
Here's how you can get involved:
Check out the project on GitHub:
Try out the live version
If you encounter bugs, please report them in the Issues section on GitHub
Have ideas for new features? Open a discussion or propose changes through a pull request
If you're feeling ambitious, pick up an open issue and submit a fix
Remember, every contribution counts. Whether it's fixing a typo in the documentation, suggesting a UI improvement, or implementing a complex new feature, your input can help make this tool even more valuable for the tech community.
By collaborating, we can create something truly extraordinary – a tool that not only helps individuals ace their interviews but also showcases the incredible things we can achieve when we work together as a community.
So, what do you say? Are you ready to join this exciting journey? Clone that repo, fire up your favorite code editor, and let's make some magic happen!
Happy coding, everyone! Let's build something amazing! 🚀👩💻👨💻