Navin Barnwal's Projects
These are small Code snippets that usually becomes a pain when working with big projects. Hope It will be of use.
Basic Android Programs Semester 4, CHrist Lab
Ceph is a distributed object, block, and file storage platform
Made this for cready assesment, it has login from localstorage with listing out the list of movies on next page using the token saved in the localstorage
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
It's a Google Chrome Extension that add's a Background picture to google.com website. Just install this extension. Go to Google.com in Google chrome and see the Magic.
This short Angular program import one to multiple excel files with a choose file button, Display contents of all the files and exports all the contents to excel file to download. It's my two beginner hours of work. Please leave a star on this project if it works for you. Contact for any issues : - [email protected]
This repo was an assesment asked by Jivrus technologies for me to do it as an assesment for Interview when I applied. Since I didn't complete on the given time I wasn't shortlisted but I did it anyway.
Online Medical and Emergency consultancy system
This library takes the filename and column as a parameter and return the min_max normalization, zscore normalization, decimal normalization.. Set multiple column as parameter as the requirement. example:- normalization.required_method('__filename__, column_name1, column_name2,....') normalization.min_max_nor('iris.csv', 'sepalwidth', 'sepallength') normalization.zscore_nor('iris.csv', 'sepalwidth') normalization.decimal_nor('iris.csv', 'sepalwidth')
Modules that are included in the project are: Bird Detection, Age & Gender Detection, Facial Expression Detection. Bird Detection will include detecting birds in the frame and recognizing the species of the bird. Age and Gender Detection module includes detecting a face and cropping out that portion, then based on that divide into Age groups and detecting the age of a person and his/her Gender. The Facial Expression detection module will include detection of a face in the image and cropping out that portion, then recognizing the facial expression/ emotion of an individual. These 3 modules working together will give an output which will tell us which category of people will react to which species of birds and in what manner. This project is aimed to create a report by collecting data and building a dataset for people who are working in the Research field of Birds
An Android application for Secured data communication within an intranet(LAN) Network. By using WebRTC for streaming and to register clients by MAC address of mobile. For Calls, Message, Screen Sharing to multiple Phones.
Smart Aquirium Using IOT
Deep learning library featuring a higher-level API for TensorFlow.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent