MockRound.AI

Inspiration

500 LeetCode problems solved. OOPs revised. System design memorized.

Still rejected after Round 1 because you never practiced a real interview.

Most students from Tier-2/3 cities have no alumni network, no coaching, no one to do a mock with. They find out what a real hiring process looks like resume shortlisting, DSA round, technical round on the day of the actual interview. By then, it's too late.

That's why we built MockRound.AI.

What It Does

1. Test Templates

Most platforms give you random problems. But real company interviews follow specific patterns.

MockRound.AI's Test Templates give you the exact coding rounds and Technical MCQ DBMS, OOPs, OS, CN that Google, Amazon, Adobe actually ask. Attempt it, submit it, and our AI analyzes your code and sends a detailed feedback report straight to your email. Not just pass or fail but what you missed, where you went wrong, and how to fix it.

2. Challenges

Most students have never experienced a real hiring process end to end.

MockRound.AI Challenges simulate the exact company hiring funnel you submit your resume, our AI HR shortlists candidates, top picks move to Round 1 DSA, and only the best go to Round 2. Exactly like a real company.

To keep it fair, we built our own Anti-Cheating System using computer vision and behavior analysis webcam monitoring, head pose detection, and AI proctoring so every candidate competes honestly. No shortcuts. Just real competition.

AI HR: https://huggingface.co/spaces/Shivaaaahdjdnd/mockround.ai
Anti-Cheating: https://huggingface.co/spaces/Shivaaaahdjdnd/anticheating

3. Discuss

The best interview prep resource is someone who just cracked the interview you're preparing for.

MockRound.AI's Discuss section lets students share their real interview experiences, write blogs, post their solutions, and help each other. A community built by students, for students because the best advice comes from people who were in your exact position six months ago.

4. Mentorship

Sometimes you need more than practice you need direction.

MockRound.AI's Mentorship feature connects students with industry experts from top companies for 1:1 sessions. Whether it's resume review, system design guidance, or cracking a specific company's process our mentors have been there and done that.

How We Built It

Frontend: Next.js + TypeScript — fast, scalable, and SEO-friendly
Backend: Node.js + Express — REST APIs for all platform features
Database: MongoDB — flexible schema for users, submissions, challenges, and mentorship
AI Models: Hosted on Hugging Face — code analysis model, AI HR for resume shortlisting, anti-cheating detection system
Email Reports: SendGrid — automated detailed feedback emails after every submission
Auth: OTP-based email authentication — no password friction
Deployment: Vercel — zero-downtime deployments, globally distributed

Why AI?

Evaluating a resume, analyzing code, detecting cheating these are not rule-based problems. They require contextual intelligence.

Our code analysis AI doesn't just check if output is correct. It evaluates your approach, time complexity, space complexity, edge case handling and explains it in plain English
Our AI HR model reads resumes and shortlists candidates the way a real recruiter would based on skills, experience, and relevance to the role
Our anti-cheating system uses computer vision to monitor webcam feed, detect suspicious head movements, and flag behavior anomalies in real time

Simple if-else can't do any of this. AI can.

Responsible AI

All AI-generated feedback is explicitly labeled as suggested evaluation not a final or authoritative verdict
Users are encouraged to cross-verify feedback with community discussion and mentors
No personal data, code submissions, or webcam recordings are stored beyond the active session
Anti-cheating flags are reviewed in context no candidate is disqualified based on AI alone

Impact

This platform is for every student who:

Never had a senior to guide them through the process
Never knew what Round 1 actually looks like until they failed it
Couldn't afford a Rs. 5000-per-session mock interview coach
Comes from a Tier-2/3 city with no campus placement support

MockRound.AI gives them the full experience for free.

180+ active users. 50+ mock interviews completed. And growing.

Challenges We Faced

Building a real anti-cheating system from scratch using computer vision getting head pose detection and behavior analysis accurate without false positives was the hardest engineering challenge
Designing an AI model that gives meaningful code feedback, not just pass/fail — prompt engineering and output structuring took multiple iterations
Simulating a complete hiring funnel (resume → DSA → final round) in a single web platform while keeping the UX simple
Making the platform fast and accessible for users on low-end devices and slow internet connections

What We Learned

How to integrate AI models into a production web app end to end from Hugging Face deployment to API integration
Real-world challenges of computer vision based proctoring lighting, angles, false positives
That the best products solve a problem the builder has personally felt every feature in MockRound.AI came from a real frustration we or someone we know experienced
Building community-first products where users trust the platform with their career preparation