IndiaAI Mission honours AB PM-JAY Hackathon 2026 winners in AI claims push

Share:
Audio Loading voice…
IndiaAI Mission honours AB PM-JAY Hackathon 2026 winners in AI claims push

Synopsis

India's flagship health insurance scheme is getting an AI upgrade. The AB PM-JAY Auto-Adjudication Hackathon 2026, run by IndiaAI Mission, NHA, and IISc Bengaluru, surfaced solutions for document forgery, deepfake detection, and radiological image validation — signalling that the government is moving to embed AI directly into the claims pipeline, not just around it.

Key Takeaways

The AB PM-JAY Auto-Adjudication Hackathon Showcase 2026 was jointly organised by IndiaAI Mission , NHA , and IISc Bengaluru .
Three problem statements covered clinical document classification , radiological image validation , and document forgery and deepfake detection .
Winners received cash prizes of ₹5 lakh , ₹3 lakh , and ₹2 lakh per category.
AB PM-JAY processes claims across more than 1,900 treatment packages daily.
Officials said the winning solutions have the potential to transform AI-driven claims adjudication under the scheme.

The government on Wednesday, 13 May 2026 felicitated the winners of the AB PM-JAY Auto-Adjudication Hackathon Showcase 2026, a joint initiative by the IndiaAI Mission, the National Health Authority (NHA), and IISc Bengaluru aimed at deploying artificial intelligence to overhaul claims adjudication, strengthen fraud detection, and improve transparency in India's flagship public health insurance scheme.

What the Hackathon Set Out to Solve

The AB PM-JAY scheme processes a large volume of claims daily across more than 1,900 treatment packages, making speed, accuracy, and fraud prevention critical operational challenges. The hackathon invited innovators to tackle three specific problem statements directly linked to claims processing — clinical document classification, radiological image validation, and document forgery detection.

Category-Wise Winners and What They Built

In the first challenge — clinical document classification and Standard Treatment Guideline (STG) compliance — participants built systems capable of reading mixed-quality healthcare documents, extracting key data, and verifying compliance with NHA treatment guidelines. Vinay Babu Ulli won the category, with Khushi Singh as runner-up and Vijay Balaji as second runner-up.

The second challenge focused on radiological image-based condition detection and report correlation, requiring solutions to validate X-rays, CT scans, and MRIs submitted as evidence and cross-reference them with medical reports. Harish Kumar topped this category, followed by Bharath Varma Sangaraju as runner-up and Arnold Sachith as second runner-up.

The third challenge addressed document forgery and deepfake detection, with participants building tools to identify forged discharge summaries, altered bills, ghost identities, and AI-generated artefacts in claim submissions. Praveen Sridhar won, with Nikhileswara Rao Sulake as runner-up and Sumanth Naidu Mathireddy as second runner-up.

Winning teams received cash prizes of ₹5 lakh, ₹3 lakh, and ₹2 lakh respectively.

Senior Officials at the Felicitation

The event was attended by Sunil Kumar Barnwal, CEO of the National Health Authority; Abhishek Singh, Director General of the National Testing Agency; Jyoti Yadav, Joint Secretary, NHA; and Shikha Dahiya, Joint Director, Ministry of Electronics and Information Technology (MeitY). Officials noted that the selected solutions have the potential to fundamentally transform AI-driven adjudication of claims under AB PM-JAY.

Why This Matters for Public Health Insurance

Fraudulent and inaccurate claims remain a persistent drain on public health insurance systems globally, and India's scheme is no exception. This hackathon represents a structured attempt to embed AI at the adjudication layer — not merely as an efficiency tool but as a fraud-detection and compliance mechanism. Notably, the inclusion of deepfake and forgery detection signals growing awareness that AI-generated fraud is an emerging threat to healthcare financing. The Centre is expected to evaluate top-performing solutions for potential integration into the AB PM-JAY claims pipeline.

Point of View

But the harder question is what comes next. Building AI tools in a competitive setting is very different from deploying them reliably at scale across a scheme that spans hundreds of millions of beneficiaries and thousands of hospitals. The inclusion of deepfake and document forgery detection is telling — it confirms that the NHA is aware that fraud is evolving faster than existing controls. Whether the winning prototypes survive contact with real-world data quality, regional language variation, and institutional resistance will determine if this is a genuine transformation or a well-publicised pilot.
NationPress
30 Jun 2026

Frequently Asked Questions

What is the AB PM-JAY Auto-Adjudication Hackathon Showcase 2026?
It is a government-backed hackathon jointly organised by the IndiaAI Mission, NHA, and IISc Bengaluru to develop AI-driven solutions for improving claims adjudication, fraud detection, and document verification under the Ayushman Bharat PM-JAY health insurance scheme. Winners were felicitated on 13 May 2026 in New Delhi.
Who won the AB PM-JAY hackathon 2026?
Vinay Babu Ulli won the clinical document classification category, Harish Kumar won the radiological image detection category, and Praveen Sridhar won the document forgery and deepfake detection category. Each category also had runner-up and second runner-up positions.
What cash prizes were awarded at the hackathon?
Winning teams received ₹5 lakh for first place, ₹3 lakh for runner-up, and ₹2 lakh for second runner-up in each of the three problem statement categories.
Why is AI being introduced into AB PM-JAY claims processing?
The AB PM-JAY scheme handles a high volume of daily claims across more than 1,900 treatment packages, making manual adjudication slow and fraud-prone. AI tools are being explored to improve speed, accuracy, and detection of forged documents, ghost identities, and AI-generated artefacts in claim submissions.
Which government bodies were involved in organising the hackathon?
The hackathon was organised jointly by the IndiaAI Mission, the National Health Authority (NHA), and the Indian Institute of Science (IISc) Bengaluru, with senior officials from MeitY and the National Testing Agency also present at the felicitation event.
Nation Press
The Trail

Connected Dots

Tracing the thread behind this story — newest first.

8 Dots
  1. Latest 2 weeks ago
  2. 3 weeks ago
  3. 1 month ago
  4. 2 months ago
  5. 4 months ago
  6. 4 months ago
  7. 5 months ago
  8. 1 year ago
Google Prefer NP
On Google