What is Smart India Hackathon (SIH) 2026?

Smart India Hackathon (SIH) is the world’s biggest open innovation hackathon organized by the Ministry of Education, AICTE, and MIC, where student teams build hardware and software solutions for problem statements submitted by Government Ministries, Departments, and State Agencies.

How many problem statements are released in SIH 2026?

SIH 2026 features 226 official problem statements, comprising 172 Software category statements and 54 Hardware category statements across themes like Smart Automation, Agriculture, Disaster Management, MedTech, Clean Water, and Cybersecurity.

How does the SIH ONE AI Team Matchmaker work?

The SIH ONE Matchmaker takes your 6-member team’s frontend/backend/AI skills, hardware experience, domain preferences, and exclusions, then runs a multi-factor weighted scoring algorithm to rank the top 25 highest-fit problem statements.

How does Explainable AI (XAI) assist rural general physicians in verifying diagnostic predictions?

Instead of an opaque probability number, the model generates high-resolution Grad-CAM++ heatmaps directly over the lung parenchyma, allowing the physician to visually confirm the pathological basis (e.g. apical cavitary lesions in TB or basal consolidation in pneumonia).

What is the diagnostic sensitivity and specificity of the model for Tuberculosis screening?

Benchmarked on NIH ChestX-ray14 and national TB datasets, the model achieves a sensitivity of 94.2% and specificity of 91.8% for pulmonary tuberculosis, exceeding WHO standards for community triage.

How does the platform integrate with India's national health stack?

All generated diagnostic summaries and DICOM image links are structured into HL7 FHIR JSON bundles and signed cryptographically, enabling instant synchronization with the patient's Ayushman Bharat ABHA health locker.

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196 of 226

PS 26196SOFTWAREMedTech / BioTech / HealthTechFast Prototype (36h)

Student Innovation

AICTE• AICTE, MIC-Student Innovation

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30-Second Plain English Summary

AICTE Open Innovation: MedTech & BioTech (Software) — Primary healthcare centers and rural clinics in India suffer from severe diagnostic delays in radiology (chest X-rays, CT scans) and pathology, leading to misdiagnosed tuberculosis, pneumonia, and early cancers. Build an AI-Powered Clinical Multi-Modal Medical Diagnostic Copilot and Clinical Decision Support System that analyzes chest X-rays, pathology biopsy slides, and electronic health records to provide explainable diagnostic triage, automated clinical report drafting, and ABDM integration.

5-Dimension Strategic ScorecardOverall Score: 3.7 / 5.0

Innovation

3.7 / 5

36h Feasibility

4.3 / 5

Uniqueness

3.6 / 5

Jury Appeal

3.7 / 5

Tech Depth

3.3 / 5

Recommended System Architecture Pipeline

Patient DICOM / JPEG X-Ray -> DenseNet-121 Medical Vision AI -> Grad-CAM Lesion Heatmap Generator -> ABDM FHIR Report Builder -> Doctor Clinical Console

Recommended Tech StackClick to search similar

Official Government Problem Description

Cutting-edge technology in these sectors continues to be in demand. Recent shifts in healthcare trends, growing populations also present an array of opportunities for innovation.

AI & PPT Citation Format

Smart India Hackathon 2026 Problem Statement PS-26196: "Student Innovation", Ministry: AICTE. Strategy & Architecture via SIH ONE (https://sihone.pages.dev/ps/26196)

Student Innovation

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