parthsarthiprasad Goto Github PK

followers: 5.0 following: 3.0 repos: 88.0 gists: 3.0

Type: User

Bio: hello world.

Location: Delhi

Hi there !

My name is Parth Sarthi Prasad and I'm a sofware developer. I'm from India and currently looking out for good opportunities. You can find me on .

🔧 Technologies & Tools

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parthsarthiprasad's Projects

academiccontent

Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.

aether

A sleek ArchLinux login manager for lightdm-webkit. ( lightdm-webkit-theme-aether )

anitab-org.github.io

AnitaB.org Open Source web gathering all informations about current open source projects, running programs and events as well as all necessary contribution informations.

ankserver

simple /query server to get,post,patch, delete request

asean_ais

Create ml model and convert it as a service using pickle to serve data

asn_2_2

Repository holding submodules for web and ml hostel on heroku

badgeyay

Attendee Badge Generator for Conferences http://badgeyay.com Backend: http://badgeyay-dev.herokuapp.com

blockmatching

3 Step Search H.264 Compression Block Matching Algorithm. The only Python implementation on the public internet.

brain-power-amazon-fidgetology

Serverless web app for streaming browser webcam feed to Amazon Kinesis Video Streams and Rekognition Video. See our post on the AWS Machine Learning Blog: https://aws.amazon.com/blogs/machine-learning/building-automatic-analysis-of-body-language-to-gauge-attention-and-engagement-using-amazon-kinesis-video-streams-and-amazon-ai-services

bridge-in-tech-web

BridgeInTech (BIT) is an application that allows organizations, mentors and mentees to actively collaborate through mentoring programs. This is the frontend client of BridgeInTech.

cflareproject

This repository contains simple wrangler project generated, working on specified tasks.

chapel

a Productive Parallel Programming Language

chapel-ip

This repository is the manage a proof of work of implementation of chapel image processing structure. Few other examples stored (which can be developed on this knowledge)