Qualcomm Inc
Browse and strategize across all 5 official problem statements submitted by Qualcomm Inc for Smart India Hackathon 2026.
Problem Statements (5)
Match My TeamA deployable AI-powered autonomous drone that aids search-and-rescue operations by detecting people and hazards, thereby improving responder safety and reducing victim discovery time.
Disaster search-and-rescue operations during earthquakes, landslides, and collapsed building incidents in India suffer from slow human exploration in hazardous rubble and GPS-denied indoor environments where cellular networks are destroyed. Build an Autonomous Edge-AI Search-and-Rescue Drone powered by the Qualcomm Snapdragon Flight / RB5 platform that uses on-device computer vision, thermal infrared human detection, visual SLAM, and acoustic survivor cry localization to locate trapped victims in real time.
A resilient, AI-powered environmental monitoring network that provides early detection, localized intelligence, and actionable alerts for floods, forest fires, pollution events, and other environmental hazards common in India, enabling authorities and communities to shift from reactive disaster response to proactive risk prevention.
Industrial complexes, national parks, and smart cities in India require continuous environmental monitoring (toxic gas leaks, wildfire smoke, air particulate matter, water runoff contamination), but existing sensor networks suffer from cellular single points of failure, solar battery depletion, and high maintenance costs. Build a Resilient, AI-Powered Autonomous Environmental Monitoring Mesh Network for Qualcomm Inc using Qualcomm RB5 / Snapdragon IoT edge gateways that orchestrates low-power LoRa/Zigbee sensor nodes, on-device anomaly detection, and self-healing mesh routing.
To build an AI-powered retail intelligence platform that delivers real-time shopper analytics, automated inventory visibility, and proactive queue management through on-device AI,enabling retailers to reduce stock-outs, improve customer experience, optimize staffing, and increase operational efficiency while maintaining privacy and minimizing cloud dependency.
Physical retail stores and supermarket chains in India face high shoplifting shrinkage, long checkout billing queues, and stockout revenue losses, while cloud-based video analytics solutions are too expensive and raise customer video privacy concerns. Build an AI-Powered Real-Time Retail Intelligence and Loss Prevention Platform for Qualcomm Inc running 100% on-device on Qualcomm Snapdragon edge processors that performs real-time customer footfall heatmapping, automated out-of-stock shelf detection, and cashier queue optimization.
A field-deployable AI-powered Smart Farming Assistant that helps farmers detect crop diseases, pests, nutrient deficiencies, and irrigation needs at an early stage, while improving resilience against droughts, floods, heat waves, and other agricultural risks common in India. The solution should enable higher yields, lower input costs, more efficient water usage, and faster response to emerging threats through real-time on-device intelligence.
Smallholder farmers in India lose 25-40% of crop yields to unpredictable pest infestations, incorrect fertilizer application, and water stress, while existing agritech apps fail because they require constant high-speed cloud internet that is unavailable in rural fields. Build a Field-Deployable AI Smart Farming Assistant for Qualcomm Inc running 100% on-device on Qualcomm Snapdragon mobile platforms that performs instant offline crop disease diagnosis, soil nutrient recommendations, and vernacular voice advisories.
A secure, AI-powered Personal Health Companion that delivers real-time, privacy-preserving health monitoring and early warning capabilities, helping individuals recognize health risks before they become emergencies. The solution should improve resilience during heat waves, floods, pollution events, and other disasters common in India while enabling continuous health support through on-device intelligence.
Patients with chronic cardiovascular and metabolic diseases in India suffer sudden fatal cardiac events (arrhythmias, heart attacks) because standard smartwatches only record passive fitness metrics and upload sensitive biometric data to commercial cloud servers with delayed analysis. Build a Secure, Real-Time AI Personal Health Companion for Qualcomm Inc running on Qualcomm Snapdragon Wear platforms that performs on-device ECG arrhythmia classification (Atrial Fibrillation, PVCs), continuous blood pressure estimation, and automated emergency SOS dispatch with zero cloud latency.