Background Anti-drone systems are deployed for detection, tracking, identification and neutralization of unauthorized drones threatening strategic, defence and critical infrastructure assets. The operational performance of anti-drone systems is generally optimized for standard environmental conditions; however, their behavior changes significantly in high altitude regions. High altitude environments are characterized by extreme cold temperatures, low atmospheric pressure, reduced air density, dust, snow, and high wind conditions. These factors influence the performance of mechanical, electrical, electronic, RF, electro-optical and stabilization subsystems. Components such as cables, motors, connectors, bearings, batteries, sensors and precision positioning mechanisms may experience altered material properties, increased rigidity, thermal stresses and degraded operational characteristics. For precision systems requiring micro-radian level pointing, tracking and stabilization accuracy, even minor changes in cable flexibility, structural dynamics, lubrication properties and component response can lead to significant degradation in system performance. Therefore, there is a requirement to develop an anti-drone system with suitable design methodologies and component selection approaches to ensure reliable performance in harsh high-altitude operational conditions. Description The above statement envisages the development of a high-altitude capable antidrone system with robust environmental tolerance and sustained operational effectiveness under extreme climatic and atmospheric conditions. The system shall assess the impact of low temperature, low pressure, dust ingress, high wind loads, thermal cycling and reduced atmospheric density on overall system performance and develop suitable mitigation methodologies. A portable or deployable anti-drone system architecture with optimized mechanical, electrical, RF and electro-optical subsystems shall be developed. The system shall incorporate Robust design methodologies for maintaining detection, tracking and engagement accuracy at high altitude. Suitable component selection and qualification for reliable operation in harsh environments. Compensation mechanisms for environmental effects impacting system dynamics, stabilization, pointing accuracy and sensor performance. Thermal management and environmental protection methodologies for critical components and subsystems. Adaptive control algorithms, health monitoring techniques and predictive performance assessment methods to minimize environmental impact on operational capability. Special emphasis shall be given to understanding and compensating the influence of temperature-induced cable rigidity, component derating, structural deformation, wind disturbances and sensor drift, particularly in systems demanding high precision pointing and tracking performance. Expected Solution Development of a robust anti-drone system optimized for high-altitude operation, incorporating: Environmental hardening and ruggedized system design suitable for extreme cold, low pressure, dust and high wind conditions. Appropriate component selection, qualification and validation methodologies for high-altitude deployment. Compensation techniques to minimize environmental effects on system stabilization, pointing accuracy, tracking performance and sensing capability. Thermal control, protective packaging and subsystem reliability enhancement measures. Modelling, simulation and field evaluation methodologies for assessing antidrone system performance under representative high-altitude operational scenarios. The final system should demonstrate reliable detection, identification, tracking and neutralization capability with minimal performance degradation under high-altitude environmental conditions, while maintaining the desired operational intent and precision requirements.

Description Students are required to conceptualize a Human Augmentation device or assembly of their choice using Autodesk Fusion. The design should reflect original thinking and real-world engineering intent. The proposed solution may address applications in healthcare, rehabilitation, industrial ergonomics,assistive living, sports, or personal mobility, and may include (but is not limited to): Exoskeleton Mechanisms Prosthetic Components Rehabilitation Devices Assistive Support Systems Ergonomic Enhancement Products Wearable Assistive Devices Adaptive Mechanical Aids From the complete assembly, participants shall identify one critical machinable mechanical component that is strictly manufacturable using either Subtractive 3- Axis CNC Milling or Subtractive 2- Axis CNC Turning.The selected component shall be clearly identified within the complete assembly, indicating its location and function in the Human Augmentation product. Participants shall also justify why the selected component is suitable for the chosen CNC manufacturing process.Using Autodesk Fusion, participants shall develop the complete digital manufacturing workflow for the selected component, including: CAD Modelling Manufacturing Setup Tool Selection Toolpath Generation Machining Simulation Toolpath Optimization G-code Generation The final solution should demonstrate good engineering design practices, manufacturability, machining efficiency, and effective use of Autodesk Fusion CAD/CAM capabilities. Expected Outcomes The proposed solution should include CAD model of the identified critical mechanical component within the assembly. Justification for selecting the component for either Subtractive 3- Axis CNC Milling or Subtractive 2- Axis CNC Turning. Manufacturing setup and machining strategy. Toolpath generation and machining simulation. Optimized manufacturing process. Product renders (assembled and exploded views). Participation Guidelines For Idea Submission Each student team shall submit a PowerPoint Presentation (6–8 Slides) describing their proposed Human Augmentation solution. The presentation should include Problem statement and proposed solution. Concept sketches. CAD model of the identified critical mechanical component within the assembly. Assembly view highlighting the selected CNC-manufactured component. Justification for selecting the component for either Subtractive 3- Axis CNC Milling or Subtractive 2- Axis CNC Turning. CAM workflow developed in Autodesk Fusion, including: Manufacturing Setup Tool Selection Toolpath Generation Machining Simulation Toolpath Optimization Product renders (assembled and exploded views). NOTE Physical machining or prototype fabrication is not required during the Idea Submission stage. Teams will be evaluated based on the proposed design,CAD model of the identified critical mechanical component, component selection, and digital manufacturing workflow demonstrated in Autodesk Fusion. Designs should be created using ONLY Autodesk Fusion and not copied or taken from any other source. AI Generated content is NOT ALLOWED. For Grand Finale*: Students must use Autodesk Fusion to design and manufacture specific components to machine size within the given time period and present the following to the jury members: PPT explaining the final project Final Manufactured components Public link of the design Rendered images NOTE *Grand Finale details to be revealed on competition day. The required 3- Axis CNC Milling Machine and 2- Axis CNC Turning Machine will be provided by the organizers during the Grand Finale. Attach Marking Criteria Table and Reference Workflow here* Faculty (SIH SPOC) Form Teams choosing to submit idea for Autodesk’s problem statement are required to request their faculty (SIH SPOC) to fill this 'Mandatory Form' Autodesk Fusion Autodesk Fusion is a cloud-based 3D modeling, CAD, CAM, CAE, and PCB software platform for professional product design and manufacturing. Students and educators can click here to get FREE access to Fusion.

Background India faces recurring public health challenges during and after disasters such as heat waves, floods, cyclones, air pollution events, disease outbreaks, and extreme weather conditions. Heat stress, dehydration, respiratory illnesses, cardiovascular complications, and delayed access to healthcare are common during such events. Rural populations, elderly citizens, outdoor workers, and people with chronic medical conditions are particularly vulnerable. Climate-related hazards are increasing in frequency and intensity, creating a need for continuous, personalized health monitoring that can function even when connectivity and healthcare access are disrupted. Advances in edge AI now enable wearable devices and mobile phones to analyze health data locally, providing real-time insights while preserving user privacy and operating without constant cloud connectivity. Local AI processing can support health monitoring in remote and underserved areas where internet access may be limited. Description Develop a Personal Health Companion, a privacy-preserving wearable or mobile application that continuously monitors an individual's physiological and environmental data and uses on-device AI to detect potential health anomalies in real time.The solution should analyze data from sensors such as heart rate, blood oxygen (SpO?), body temperature, activity levels, sleep patterns, and environmental conditions. The system should identify early indicators of heat stress, dehydration, respiratory distress, abnormal vital signs, fatigue, falls, and other health risks that may be exacerbated during disasters and environmental emergencies.All sensitive health data should be processed locally on the device to maximize privacy, minimize latency, and ensure continuous operation even during network outages. The application should provide actionable alerts, wellness recommendations, and emergency notifications while allowing users to maintain control over their personal health information. Edge AI approaches provide faster responses, improved privacy, and offline functionality. Expected Solution The proposed solution should implement some or all of the following: 1. Continuous Health Monitoring Monitor heart rate, SpO?, body temperature, activity levels, and sleep quality. Track changes in baseline health patterns. Generate personalized wellness indicators. 2. AI-Based Health Anomaly Detection Detect abnormal heart rate patterns. Identify indicators of heat stress, dehydration, fatigue, and respiratory issues. Recognize sudden changes that may require medical attention. Provide risk assessments using on-device AI inference. 3. Disaster-Specific Health Alerts Heat-wave exposure warnings. Air-quality and respiratory-risk alerts. Flood and cyclone-related health advisories. High-risk notifications for vulnerable individuals during extreme weather events. 4. Environmental Awareness Integrate data from local temperature, humidity, and air-quality sensors. Assess environmental conditions that may affect health. Generate personalized recommendations based on local risks. 5. Privacy-Preserving Edge AI Perform all health analysis locally on the device. Minimize transmission of sensitive personal information. Operate effectively with intermittent or no internet connectivity. Maintain user control over data sharing. 6. Emergency Assistance Features Automatic detection of falls or medical distress. SOS alerts to caregivers or emergency contacts. Location-enabled emergency assistance when permitted by the user. 7. Personal Wellness Dashboard Daily health summaries and trend analysis. Risk scores for heat, respiratory, and cardiovascular stress. Personalized recommendations for hydration, rest, activity, and medical consultation. 8. Scalable Deployment Support smartphones, smartwatches, fitness bands, and specialized healthcare wearables. Suitable for individual consumers, healthcare providers, disaster-response agencies, and public health programs.

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.

There is a need to design drones and robots that can solve some of the pressing challenges of India such as handling medical emergencies, search and rescue operations, etc.