A Deep-Learning model for image classification of a set of 10 food items. It uses the ResNet-50 pre-trained on ImageNet database.

Object Detection with FasterRCNN from Torchvision.

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.

AI-powered search engine that uses FAISS and DenseNet-50 for both text and reverse image search capabilities. Comes with an asynchronous based web crawler

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

Welcome to the AI-Powered CXR Diagnostic System! This project utilizes advanced AI and machine learning techniques to streamline the radiologist workflow by automating the analysis of chest X-ray (CXR) images.

Assigns a respective class name to an uploaded image in the .jpg or .jpeg extensions format.

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

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.

A simple neural network to classify MNIST handwritten digits using PyTorch.

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 and classify traffic signs in road images, enhancing autonomous driving and intelligent transportation systems.

Generate unique images from natural language text prompts using powerful AI models, all within user-friendly Jupyter Notebooks. Perfect for artists, researchers, and anyone curious about text-to-image synthesis.

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.