Abhishek Parashar's repositories
sepsis-prediction
Mobile and Web application for real time early prediction of sepsis(6 hours before the onset). I did pre processing, data visualisation , feature engineering and all the data science and machine learning work, I also handled Google Cloud and real time analysis. A flask app is built and deployed on heroku platform
AI-DOC
AI-DOC is a medical application. Developed to assist the doctors and the individual patients to comprehend the laboratory data to infer whether the person is suffering from a particular disease or not. Many diseases are analysed in this medical application more diseases would be added later. The application uses multiple machine learning and deep learning models, developed using Flask and deployed to Heroku.
ammunition-c-
this is a c++ project on ammunition, developed using C++. It tells about the different types of ammo available in the shop, creates and checks license and calculates the cost etc.
Binge-Watcher
A Movie Recommendation and review system. Data taken from IMDB. Used collaborative filtering for Recommendation system. Sentiment analysis using NLP. Deployed on Heroku. Developed using Flask.
Cancer-gene-expression
Here is analysis of Cancer Gene Expression Data. The Data is stored in .gct format, which is a special format for saving gene data, Kmeans clustering and PCA is performed on the Data.
cifar_10_cnn
in this repository we train a cnn model to predict and analysis on cifar 10 dataset
corona-virus-analysis
This notebook explores the corona virus and it's impact on the country.
mnist-dataset-exploration
this is an initial notebook learned during a course by @Sentdex. the dataset is available on kaggle
sun-spot-project
time-series forecasting
temperature_dataset_exploration
time-series forecasting
Reddit-flair-detection
Detection and prediction of r/India flair and other statistics, hosted on Heroku. Used Flask, for development
Right-From-Scratch
This repository is implementation of data structures, different digital signal processing algorithms and methods, competitive coding questions, equations, algorithms, mathematics formulas and methods, neural network, different machine learning algorithms etc all from scratch in hard coded python and julia
abhishek-parashar
github portfolio
abhishek-parashar.github.io
personal website portfolio and ya some blogs
accelerometer
Project for increasing percission and accuracy of cheap accelerometer. Using machine learning and electronics.
bring-back-the-colours
image and video colourization
crud_with_go
Backend with Go and frontend with Vuejs, The application can creat teams, delete members, edit their details and see their details. Used post, put, delete, get fetch api.
handwritten-equation-solver
using convolution neural networks to solve handwritten equations. The model solves simple mathematical equations. developing further for more complex uni-variate and multivariate equations.s
neural-style-transfer
Neural style Transfer implementation
yolo-object-detection
yolo object detection implementation