Deployable builds · Interview-shaped narratives

End-to-end projects that go beyond code — so you can speak like you shipped them.

Not toy notebooks: structured problem → approach → trade-offs, with assets you can walk through live.

Start building projectsWhat you actually get

What you actually get

Shipped story

  • Deployable path you can describe
  • Metrics & failure modes, not just accuracy

Interview voice

  • Problem → design → trade-offs
  • Answers that match panel expectations

Readable codebase

  • Clean structure you can navigate live
  • Comments where interviewers look

Walkthroughs

  • Hinglish explainers
  • Docs that feel like a senior IC talking

See what you will build

Live Deployed Apps

Loading live apps…

How to use Project Sheet in interviews

Framing, depth, and what to rehearse before the panel.

Reality check

See what you'll defend

Most portfolios stumble on

  • Random Kaggle-style experiments with no deployment story
  • Code you can’t explain line-by-line under pressure
  • Zero system view: scale, monitoring, or trade-offs

Vorithm project sheet is built to fix that.

Each build pairs a credible architecture narrative with artifacts you can open when someone says "walk me through it."

Example panel view

ML Pipeline

Data

Model

Deploy

Precision

0%

Recall

0%

Latency

0ms

Model Performance

Catalogue

Projects you can run & explain

Filter by stack. Open App when live; Full Project opens enrolment options.

Why this works

Demo-ready

You’re rehearsing a story tied to something shippable — not memorizing a notebook.

Interview-shaped

Sections follow how panels actually probe: intent, design, failure, and next iteration.

Plain-language depth

Hinglish walkthroughs and notes so concepts land without sounding textbook-recited.

Ready when they say "show me the project."

Open the sheet, follow the thread, own the trade-offs.

Browse projects

These projects speak for you in interviews.

Real learners. Real projects. Real interview confidence.

Explore Projects

"The Resume Screening project helped me explain ranking models confidently. Got asked about it in 3 interviews."

ML Project

Priya S.

Data Scientist

Project: Resume Screening

"Churn Prediction project structure is exactly how interviewers want to hear it. Problem → approach → trade-offs."

ML Project

Rahul K.

ML Engineer

Project: Churn Prediction

"RAG Assistant project gave me the confidence to discuss vector search and retrieval systems. Landed the role!"

GenAI Project

Ananya M.

GenAI Engineer

Project: RAG Assistant

"The end-to-end structure of these projects is what sets them apart. Real production thinking, not toy examples."

End-to-End

Vikram R.

Senior Data Scientist

Project: Fraud Detection

"Recommendation System project helped me explain cold-start problem and hybrid approaches. Interviewer was impressed."

ML Project

Sneha P.

ML Engineer

Project: Recommendation System

"These projects speak for themselves. I walked into interviews with real confidence, not just theory."

All Projects

Arjun T.

Data Scientist

Project: Multiple Projects

"The Resume Screening project helped me explain ranking models confidently. Got asked about it in 3 interviews."

ML Project

Priya S.

Data Scientist

Project: Resume Screening

"Churn Prediction project structure is exactly how interviewers want to hear it. Problem → approach → trade-offs."

ML Project

Rahul K.

ML Engineer

Project: Churn Prediction

"RAG Assistant project gave me the confidence to discuss vector search and retrieval systems. Landed the role!"

GenAI Project

Ananya M.

GenAI Engineer

Project: RAG Assistant

"The end-to-end structure of these projects is what sets them apart. Real production thinking, not toy examples."

End-to-End

Vikram R.

Senior Data Scientist

Project: Fraud Detection

"Recommendation System project helped me explain cold-start problem and hybrid approaches. Interviewer was impressed."

ML Project

Sneha P.

ML Engineer

Project: Recommendation System

"These projects speak for themselves. I walked into interviews with real confidence, not just theory."

All Projects

Arjun T.

Data Scientist

Project: Multiple Projects