Problem Statements released!
Topics
Problem Statements will be released 10 days before the event.
1. IoT for Early Disease Detection in Rural Areas:
Propose an IoT solution that brings affordable, easy-to-use health diagnostics to rural or underserved communities. The system could leverage portable IoT devices for early detection of diseases (e.g., malaria, tuberculosis) and integrate with telemedicine platforms for real-time consultation with specialists.
2. IoT-Driven Elderly Care:
Develop a smart home IoT solution to enhance elderly care by tracking daily activities, detecting falls, monitoring medication adherence, and integrating voice assistance for emergency situations. The system should promote independence while ensuring safety for the elderly population.
3. Personalized Health Monitoring for Mental Well-being:
Build an IoT enabled system that tracks both physiological (e.g., heart rate variability, sleep patterns) and environmental (e.g., noise, light) factors to assess mental health. The solution should offer personalized mental wellness recommendations, detect signs of stress or anxiety, and connect users to mental health professionals when needed.
1. Smart Traffic Management Vulnerability:
Develop innovative solutions to identify and mitigate vulnerabilities in smart traffic management systems. This could include detecting unauthorized access to server, preventing data breaches, and ensuring the integrity of data collected from IoT devices and sensors of connected devices.
2. Secure Remote work for Traffic management Authorities:
Develop a comprehensive cyber-Security solution that protects remote access, ensuring that only authorized personnel can manage traffic systems without compromising sensitive data.
3. Data Integrity in Edge Computing:
With the increasing use of edge computing in traffic management, maintaining data integrity is crucial. Design a cyber security framework that ensures the accuracy and reliability of data processed at the edge, preventing tampering and unauthorized modifications.
1. AI-Powered Real-Time Anomaly Detection in Cloud Infrastructure:
Develop an AI system that monitors cloud infrastructure in real-time and detects unusual patterns or potential security threats. The model should provide automated alerts and suggestions for mitigating these issues before they impact the system’s performance or security.
2. AI-Based Cloud Resource Auto-Scheduler:
Create an AI model that can predict cloud resource demand based on historical data and user activity, automatically scaling resources up or down to meet the demand while minimizing idle time and cost.
3. Cloud-based, AI-powered Smart Traffic Management System:
Design and implement a cloud-based, AI-powered Smart Traffic Management System that can analyze real-time traffic data from multiple sources (e.g., CCTV cameras, IoT sensors, GPS from vehicles, and mobile apps). The system should intelligently manage and control traffic signals, predict congestion, and suggest optimized routes for drivers. The solution should utilize cloud services for real-time data ingestion, processing, and storage, and AI algorithms for predictive analysis.
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Amity University Uttar Pradesh, Noida
E – Block, Amity School of Engineering and Technology, Amity Campus Sector – 125 Noida- 201303