In the era of intelligent automation, HackRx 6.0 returns with a bang—this time focused on Generative AI and Large Language Models (LLMs). Hosted by Bajaj Finserv Health, HackRx 6.0 is not just another student hackathon—it's a mission to build AI systems that impact millions.
Whether you're passionate about AI/ML, natural language processing, or building real-world solutions—this is the hackathon you can’t afford to miss in 2025.
What is HackRx 6.0?
HackRx 6.0 is a national-level AI hackathon by Bajaj Finserv Health. It invites engineering students to design LLM-powered systems that can understand human language and retrieve information from large documents—bringing true AI reasoning into real-world applications
Key Focus:
- Generative AI
- Large Language Models (LLMs)
- Real-time decision-making
- Healthcare & Insurance document analysis
Competition Timeline:
| Stage | Date |
| Registration Opens | July 10, 2025 |
| Registration Deadline | July 20, 2025 |
| Webinar + Deep Dive | July 21 – 22, 2025 |
| Pitch Deck Submission | July 25, 2025 |
| Final Presentation | August 10 – 12, 2025 |
| Winners Announced | August 15, 2025 |
Eligibility Criteria:
Who Can Apply?
- Engineering students in 2nd, 3rd, or 4th year
- Pursuing B.E. / B.Tech / MCA
- Strong interest in AI/ML/NLP
Team Guidelines
- Team Size: Minimum 2, Maximum 5
- All members must be from the same institution
- Can be from different domains or semesters
Evaluation Criteria
| Criteria | Weightage |
| Innovation & Idea Relevance | 25% |
| Technical Feasibility | 25% |
| Use of LLM/AI Models | 20% |
| Presentation & Clarity | 15% |
| Real-World Impact | 15% |
🎁 Prizes & Rewards:
| Award Type | Reward |
| Winner | ₹1,00,000 + Internship/PPI |
| Runner-Up | ₹75,000 |
| 2nd Runner-Up | ₹50,000 |
| 4 Special Awards | ₹60,000 Total |
| Career Perks | Exclusive Job/Internship Opportunities |
| Other Perks | Swags, Certificates, Recognition |
Registration Process
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Go to:HackRx 6
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Click on “Register on Unstop”
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Form your team and enter institution details
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Get confirmation and start building!
Final Round
Shortlisted teams will:
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Present live to industry experts
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Demo their working prototype
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Justify decisions using document explainability
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Compete for final rewards
Problem Statement: AI-Powered Query Understanding & Retrieval
Participants are required to build a smart system that can:
Take a vague or natural language query like:
- “46-year-old male, knee surgery in Pune, 3-month-old insurance policy”
- ...and return a structured decision using document-based reasoning.
The system must:
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Understand user queries and extract key entities (age, procedure, city, policy duration).
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Retrieve relevant clauses from provided documents like PDFs, emails, or Word files.
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Analyze the retrieved text semantically to decide if the case qualifies (approved or rejected).
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Respond with a JSON output including:
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Decision status
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Payout amount (if any)
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Explanation + clause references
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Sample Query:
“46M, knee surgery, Pune, 3-month policy”
Sample Output:
“Yes, knee surgery is covered under the policy.”
System Requirements
| Features | Description |
| Input | Natural language query (vague/incomplete/colloquial) |
| Source | Unstructured files like PDFs, contracts, emails |
| Output | Interpretable, structured JSON |
| Explainability | Reference to exact policy/contract clause used for decision |
| Use Cases | Health insurance, Legal compliance, HR, Contract automation |
Why HackRx 6.0 is Different
| Features | Benifits |
| LLM-Based Problem | Pushes you to use GPT/Claude/BERT-class models |
| Real-World Impact | Winning ideas could go live on Bajaj platforms |
| Expert Mentorship | Get guidance from top AI leaders and practitioners |
| Career Path | Internships + job offers for best performers |
| Document Understanding | Focus on reasoning, not just keyword search |