A lightweight utility for visually inspecting and debugging torchvision image transformation pipelines using PyTorch and matplotlib.

Successfully developed an object detection model using Faster R-CNN to detect safety helmets and ensure compliance at construction sites by accurately localizing helmets and personnel in real-time images.

Successfully developed an instance segmentation model using Mask R-CNN to detect and segment brain tumors from MRI scans with pixel-level precision.

Developed an instance segmentation model using Mask R-CNN to accurately identify and segment germinated seeds in high-resolution seed images.

Successfully developed an object detection model using Faster R-CNN to detect vehicles and traffic-related objects in real-time road scenes, supporting smart traffic monitoring and surveillance applications.

AI/ML Trained Image Recognition for Finnish trees in Python with Gradio Web Interface

This repository provides topics in PyTorch which is used for Deep Learning

Successfully developed an object detection model using Faster R-CNN to detect and localize wind turbines in aerial imagery, aiding in automated monitoring and infrastructure assessment.

Successfully developed an object detection model using Faster R-CNN to detect and classify traffic signs in road images, enhancing autonomous driving and intelligent transportation systems.

Successfully established a robust Pistol Object Detection system using Faster R-CNN with ResNet50 RPN, capable of accurately identifying and localizing firearms in images. Integrated the model into both a Streamlit web app for interactive visualization and a Telegram bot for real-time pistol detection and alerting.

Successfully developed a wildlife detection model using Faster R-CNN to identify and localize animals in natural habitats, supporting conservation efforts and ecological research.