Prajwal Shegaonkar's Projects
Converter for currency, area, temperature, weights and also an app to check current sensex, gold rates and silver too...!!!
A CNN model to classify Alzeimer's disease in a patient using DenseNet-169 pretrained keras weights
A simple browser created in python.
A deep learning model built to detect cataract in human eyes using the VGG-19 pretrained weights
A deep learning model to classify between dogs and cats using transfer learning with RESNET50
An image classificaion model using deep learning over the the CIFAR-10 dataset with DenseNet-121 architecture.
Sample blockchain project
Blockchain technology
A machine learning model to detect fraud in credit card customers using Random Forest Classification Algorithm
A simple currency converter in python using tkinter and pygame
A machine learning model to predict whether a patient has diabetes or not
A deep learning end to end flask web app to classify dog breeds of the uploaded image using RESNET-50 pretrained weights.
A dog breed classification model created using CNN with InceptionV3 pretrained weights .
I created a deep learning end to end flask web app to detect face mask in uploaded pics using my previous Face Mask Prediction model using MBILENET
A deep learning model to detect face mask in images using MobileNET.
A facial emotion/expression recognition model created using CNN with Keras & Tensorflow
A machine learning end to end flask web app deployed on heroku
a submission repository for freshworks' assignment task
A Convolutional Neural Network model created using PyTorch library over the MNIST dataset to recognize handwritten digits .
An Artificial Neural Network model to predict house prices over a kaggle dataset.
A neural network model to classify multi labelled images
A CNN model to classify an image dataset from kaggle.
None
A machine learning model to recommend movies & tv series
A basic mp3 player
An python OCR model of machine learning created through ocr.space api
An OCR model created in python using the Tesseract library.
A deep learning CNN model to predict diseases in plants using the famous AlexNet architecture