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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.

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.

air-quality-index

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.

bring-back-the-colours

image and video colourization

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.

cbt-dl

memory ability

cifar_10_cnn

in this repository we train a cnn model to predict and analysis on cifar 10 dataset

confused_student_eeg_kaggle

corona-resources

corona-virus-analysis

This notebook explores the corona virus and it's impact on the country.

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.

gui-eeg

This repository contains code for gui developed using tkinter to predict wether a person is confused or not.

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

ica-eeg

this is an ica or independent component analysis notebook on eeg signals and reduces dimensions of artefacts to clean the data

ipl-fixer

This repository contains code for predicting Score of IPL and analysing different players. Developed using Flask and python. Website is hosted on heroku.

major-project

memory_ability_eeg

mnist-dataset-exploration

this is an initial notebook learned during a course by @Sentdex. the dataset is available on kaggle

neural-style-transfer

Neural style Transfer implementation

python-intro

Introductory notebooks for python for data science and machine learning. Containing notebooks for Pandas and Numpy , strings, lists dictionaries loops and other concepts.

reddit-flair-detection

Detection and prediction of r/India flair and other statistics, hosted on Heroku. Used Flask, for development

resources

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

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

sig_deep_learning

stock-market-prediction-initial

this is an initial repository with stock market prediction using kmeans and unsupervised learning next version would contain neural nets.