SIH 2026 Problem Statements Are Here
Following the official launch on August 21, 2026, problem statements are being released across multiple ministries and corporate partners. Here’s an early analysis to help you choose wisely.
Expected Themes & Categories
Based on SIH’s announcement, expect problem statements across these sectors:
| Sector | Typical Problems | Best For Teams With |
|---|---|---|
| Healthcare | Patient management, telemedicine, drug tracking | AI/ML + Web dev skills |
| Supply Chain & Logistics | Route optimization, cold chain, last-mile delivery | Algorithm + mapping skills |
| Smart Technologies | IoT, automation, smart cities | Hardware + IoT skills |
| Heritage & Culture | Digital preservation, virtual tours, language tech | AR/VR + NLP skills |
| Sustainability | Carbon tracking, waste management, renewable energy | Data science + web dev |
| Education & Skill Development | Personalized learning, assessment, skilling | AI/ML + frontend skills |
| Water | Quality monitoring, leak detection, distribution | IoT + data analytics |
| Agriculture & Food | Crop monitoring, market prices, supply chain | ML + mobile dev |
| Emerging Technologies | Blockchain, AR/VR, quantum-inspired | Specialized tech skills |
| Disaster Management | Early warning, resource allocation, coordination | Maps + real-time systems |
Strategy: Which Categories to Target
High Competition (500+ teams per problem)
Healthcare, Education, Smart Technologies – everyone picks these because they’re familiar. Your solution needs to be exceptional to stand out.
Medium Competition (100-300 teams)
Agriculture, Water, Disaster Management – fewer teams, but require domain knowledge. If you have it, these are golden.
Low Competition (50-100 teams)
Heritage & Culture, Supply Chain (non-tech ministries) – fewest teams, but problems may be niche. A solid solution here has the highest chance of reaching the finale.
What’s Different in 2026
- AI is expected everywhere – judges now expect AI integration (LLM, computer vision, or prediction) in almost every solution
- On-device/local AI gets bonus points – solutions that work offline score higher
- Corporate problems have returned – companies like TCS, Infosys, and startups provide problems (often with internship pipelines for winners)
- Video demo is mandatory – not just PPT, you need a working demo video