Smart India Hackathon 2026 prototype

Early detection. Better tomorrow.

QureNova combines classical machine learning with a hybrid quantum computing pipeline to support early disease-risk assessment — explained clearly, reviewed by real doctors.

QureNova provides an AI-based preliminary risk assessment and does not replace professional medical diagnosis.

Classical ML
Quantum Feature Map
Explainable AI

Built for early, explainable care

Every part of QureNova is designed around one goal: catching risk earlier, and showing patients and doctors exactly why.

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Early Disease Risk Detection

A guided health assessment turns vitals, lifestyle and history into a preliminary risk category in minutes.

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Hybrid Quantum ML

A simulated quantum feature-mapping layer sits alongside a classical model so results can be compared side by side.

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Explainable AI

Every result comes with the contributing factors ranked and visualised, not just a single score.

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Doctor Consultation

Move from an AI risk result straight into a video consultation with a real doctor, with your data already in view.

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Secure Health Records

Profiles, reports and history are organised in one place, built around role-based access from day one.

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Multilingual Support

English, Telugu and Hindi today, with a translation system designed to add more languages easily.

How a QureNova assessment works

Patient data moves through a classical pipeline and a hybrid quantum-classical pipeline in parallel, so the two predictions can be compared before a risk category is shown.

1Patient Health Data
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2Data Preprocessing
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3Feature Engineering
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4Classical ML Model
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5Quantum Feature Mapping
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6Hybrid Quantum-Classical Model
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7Risk Prediction
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8Explainable AI
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9Patient / Doctor Result

This demo runs a simulated quantum workflow in the browser. No real quantum hardware is used — see the README for details.

Ready to try QureNova?

Create a patient account to run your first health assessment, or sign in as a doctor to review patient results.