Saurav Mishra's Projects
https://www.deeplearning.ai/ai-for-medicine/
A repository for all AI ML learning and research papers from various resources.
This paper discusses about the progress AI has made in the healthcare domain and what the future of AI looks like. It also discusses about the implementation opportunities various AI technologies provide in various fields of healthcare & clinical workflow, how AI systems will boost healthcare to restore human touch in patient-physician encounters.
Batch Normalization: Accelerate Training by Reducing Internal Covariate Shift - Paper Review
Understanding the biomedical coordinate systems and DICOM format for deep learning medical image analysis
A comprehensive analysis on the spread of the corona virus worldwide. The statistical analysis shows the spread using interactive charts and figures. The geographical analysis shows the spread of the virus on the geographical map of the majorly affected countries and highlighting the places with highest incidence rate.
An AI and Deep Learning based solution to help diagnose the presence of Covid-19 infection by analyzing the chest X-Ray images.
Identify hand written digits using SVM
Use EfficientNet with weights pre-trained on imagenet for Stanford Dogs classification.
Diagnose the presence of skin cancer in a person using CNN and as well explain what led the CNN to arrive at the decision. Visual explanations are made utilizing the Gradient-weighted Class Activation Mapping (Grad-CAM), the gradients flowing into the final convolutional layer to produce a coarse localization map highlighting the important regions in the image for considered for arriving at the decision. The original paper for GRADCAM can be found @ https://arxiv.org/abs/1610.02391
With the Covid-19 Pandemic, wearing of the face masks have become mandatory across the globe. Thus, an AI application that would enable the aumomatic detection if a person is wearing mask / or not will be benificial in areas such as automatically controlled (unmanned) entry gates at various places. A camers based application could flag-off persons not wearing mask and thus not allow entry.
In this analysis we build a multiple linear regression model for the prediction of car prices.
Develop a feature in the smart-TV that can recognize five different gestures performed by the user which will help users control the TV without using a remote.
Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases and heart failure condition.
A simple image classification app created using tensorflow-js and react. The app uses the pre-built MobileNet v2 model for image classification without going through any additional training process.
Inception - Going Deeper with Convolutions
JavaScript Design Patterns
This repository is for the Linkedin Learning course: JavaScript Essential Training
A conversational bot which can help users discover restaurants across several Indian cities
The code for the book Learning TensorFlow.js by Gant Laborde - Published by O'Reilly Media
This analysis will give an idea about how real business problems are solved using EDA. Is this analysis we not only apply the various EDA techniques, but will also develop a basic understanding of risk analytics in banking and financial services and understand how data is used to minimize the risk of losing money while lending to customers.
L&T Financial Services & Analytics Vidhya - ### ‘DataScience FinHack’ ###
Malaria Parasite Detection using Efficient Neural Ensembles. Malaria, a life threatening disease caused by the bite of the Anopheles mosquito infected with the parasite, has been a major burden towards healthcare for years leading to approximately 400,000 deaths globally every year. This study aims to build an efficient system by applying ensemble techniques based on deep learning to automate the detection of the parasite using whole slide images of thin blood smears.
A notepad like application developed using the Python and PySimpleGUI framework.
Object Detection and Semantic Segmentation
This repo contains a series of tutorials and code examples highlighting different features of the OCI Data Science and AI services, along with a release vehicle for experimental programs.
My explorations and leanings with OpenCV
⚽ Manchester United Fan Boy ⚽ 
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent