A Deep Learning Humerus Bone Fracture Detection Model which classifies a broken humerus bone X-ray image from a normal X-ray image with no fracture using Back Propagation, Regularization, Convolutional Neural Networks (CNN), Auto-Encoders (AE) and Transfer Learning.

A transfer learning based COVID-19 lung x-ray classifier made into a WebApp!

Multi-object Detection System for Plant Stomata Phenotypic Traits, release only, which has been published on IEEE/ACM-TCBB 2021 (CCF-B)

Deep neural network model combining audio signal processing and pre-trained audio CNN achieved 90.1% adjusted accuracy (27.6% improvement) for classifying audio recording environment.

Convolutional Neural Networks capable of classifying Normal vs. Pneumonia frontal chest radiograph (a set of 32 images in 8 seconds) using Transfer Learning with ResNet50

Transfer Learning using InceptionResNetV2 to the Augmented Neuroimage Data for the Autism Spectrum Disorder (ASD) Classification, using ABIDE I dataset.

Constructed an algorithm that works on user supplied image. If a dog is detected, it estimates the breed of the dog, Trained using Transfer learning with CNN.

An end-to-end multi-class image classification system(web app) that classifies 101 classes of food. I'll be implementing the popular CNN architecture while utilizing the full power of transfer learning to extract features and fine-tune layers. I'll also build an interactive UI using react-js and deploy the system.

Content-Based Image Retrieval System using multiple images deciphers for feature extraction

Waste image classification platform to promote sustainability | Created at HackMIT 2022

Given an image, detects whether there is a human face or a dog in it. In case it is a dog, the algorithm classifies the breed of the dog. Deep Learning Nanodegree project.

Supervised Contrastive Learning for Diabetic Retinopathy Classification

It is a autonomous robot equipped with sensors and cameras with deep learning algorithms to monitor and maintain crop health and act as an aid to farmers and huge estate or nursery owners

Facial Recognition and Tracking Application using Deep Learning.

Transfer learning using InceptionV3 Keras model for Chest X-Ray Classification

Identifying and classifying brain tumors in MRI scans using convolutional neural networks

Predict proteins crystallization conditions using LLMs and transfer learning

A dog breed identification model specializing in precise classification from images, leveraging advanced transfer learning techniques with TensorFlow, Keras, and GPU acceleration

The provided code demonstrates transfer learning by adapting a model trained using synthetic data to classify circles, squares, and triangles to classify new shapes like stars and pentagons. By fine-tuning a pre-trained model originally designed for a different task, the repository showcases how to efficiently adapt a model to a new domain.