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PrepAIred

Inspiration

Internship hunting season is stressful, and we all felt pressure to prepare for interviews. We wished we had a way to experience real mock interviews before facing actual recruiters. Additionally, having an interview buddy or a structured way to practice would have made the process much smoother. That's why we built PrepAIred: a tool designed to simulate real interviews, provide instant feedback, and track progress over time.

What it does

PrepAIred simulates real interview experiences using an AI-driven interviewer that asks dynamic, industry-specific questions. Users can:

Engage in mock interviews with AI, receiving real-time feedback.
Practice behavioral questions based on their field.
Customize interviews by selecting the job role.
Speech-to-text processing for a hands-free, conversational experience.
Get AI-generated feedback on responses, including clarity, and conciseness.
Score tracking to monitor improvement over time.
User authentication to save past performance and track progress.

How we built it

Frontend: Developed using React for a clean and interactive UI, and with react-speech-recognition for speech-to-text .
Backend: Built with Node.js to handle communication with Ollama.
AI Model: Utilized Llama 3 (latest) to generate realistic interview questions and feedback.
Database: Stores user scores and progress history in MongoDB for tracking improvements.

Challenges we ran into

Setting up MongoDB: Ensuring proper database connections and structuring data efficiently.
Authentication: Implementing secure user login and session management.
Score tracking: Designing a system that records user performance over multiple sessions.
Prompt engineering responses: Ensuring AI-generated questions and feedback felt natural and job-relevant.

Accomplishments that we're proud of

Creating a realistic mock interview experience powered by AI.
Successfully integrating speech-to-text for verbal interview practice.
Designing an aesthetic and intuitive UI that enhances user experience.
Overcoming AI response inconsistencies to provide meaningful feedback.

What we learned

The importance of prompt engineering to guide AI-generated responses.
How to integrate Ollama for local AI model execution.
Optimizing user experience for an interactive AI-driven application.
Effective collaboration and time management under hackathon pressure.

What's next for PrepAIred

More interview customization: Support for company-specific and role-specific questions.
Multi-user mock interviews: Pairing users for peer-to-peer practice.
Enhanced feedback: More granular insights into speaking clarity, confidence, and response structuring.
Mobile version: Bringing PrepAIred to mobile devices for on-the-go practice.
Analytics: A dashboard to see your progress over time.

🚀 Get PrepAIred and ace your next interview!