- Developed a hierarchical classification system using a hybrid edge-cloud architecture for efficient real-time object detection
- Technologies Used: Convolutional Neural Networks for image compression, local and cloud-based classification, load balancer with auto-scaling, and edge device integration. Currently Working on Paper publishing
- Achievements: Enhanced system reliability, minimized latency, achieving robust fault tolerance and efficient data transmission