Projects
TrainConv Framework
A distributed training framework on PyTorch and TensorFlow with configuration-based pipelines and automated orchestration.
DeepGait
An IoT-based intelligent gait analysis system using a 6-axis IMU, force sensors, and AWS integration.
GCN for Pandemic Prediction
Graph convolutional networks for predicting state-wise COVID-19 incidence with up to 85.3% accuracy.
Real-time Ship Detection
A modified YOLOV3 architecture for ship detection in synthetic radar images with high accuracy and performance.
Programmable Insulin Delivery System
Raspberry Pi-based closed-loop system for automated insulin delivery, leveraging continuous glucose monitoring and real-time processing.
CaprioSim
Traffic Sign Recognition and Flow Simulation using Cellular Automata. Integrates computer vision-based traffic sign detection with cellular automata simulation to model priority-based traffic flow at intersections.