Interview Prep AI and Monad Arcade
The Future of Interview Practice.
Created on 26th April 2025
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Interview Prep AI and Monad Arcade
The Future of Interview Practice.
The problem Interview Prep AI and Monad Arcade solves
Preparing for technical interviews is often inefficient and stressful. Candidates struggle with:
1.Lack of Structure: Figuring out what and how to study effectively.
2.Finding Relevant Questions: Sourcing up-to-date practice material.
3.Limited Realistic Practice: Difficulty finding partners for mock interviews that simulate a real coding environment with live interaction.
4.Getting Useful Feedback: Obtaining specific, actionable feedback on performance, especially during coding.
5.Inefficient Self-Practice: Practicing alone doesn't replicate interview pressure.
Our project solves this by providing a comprehensive, integrated, and intelligent platform:
1.AI Study Plans: Generates personalized study roadmaps.
2.Centralized Questions: Offers topic-specific and customizable practice questions.
3.Collaborative Mock Interviews: Facilitates peer or interviewer practice with integrated live coding, video, and chat.
4.AI Mock Interviews: Allows practice anytime with an AI interviewer using speech recognition, tailored by your resume, providing instant feedback.
5.Integrated Feedback: Provides structured feedback from both human and AI interviews.
Challenges we ran into
Challenge: Synchronizing Live Code & Video
The biggest hurdle was seamlessly integrating WebRTC video/chat with the real-time collaborative code editor. Ensuring everyone in the interview saw the exact same code simultaneously, handled concurrent edits smoothly, and kept it in sync with the live video stream was complex due to network variations and the real-time nature required.
How We Overcame It:
We used a robust signaling server (via Supabase/backend) to manage WebRTC connections and integrated a specialized collaborative editor library that handles conflict resolution (like OT/CRDTs). We then used WebRTC Data Channels or Supabase Realtime to send tiny, rapid updates for code changes and chat, keeping everything perfectly synchronized across all participants alongside the video feed.
Tracks Applied (1)
Groq track
Groq
Technologies used