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Hi there šŸ‘‹

I'm Anshul

A Developer, Teacher and Tech Enthusiast !

  • :octocat: Iā€™m currently working on a STT and TTS system!
  • šŸ”­ Love to do Product analysis using different tools
  • šŸŒ± Iā€™m currently learning everything in machine learning and deep learning šŸ¤£
  • šŸ‘Æ Iā€™m looking to collaborate with other developers and creators
  • šŸ„… 2020 Goals: Contribute more to Open Source projects
  • āš” Fun fact: I love to innovate, discover and dont know when I'll travel :trollface: Chai over Coffee ā˜•

Connect with me:

anshul Instagram anshul StackOverlow anshul LinkedIn


Languages and Tools:

Android

android_studio

Atom

CSS

html5

java

jupyter

Kafka

opencv

pycharm

python

pytorch

spark

tensorflow

visual_studio


Web FrameWork:

django

Flask


Database Services:

cassandra

postgres


Cloud Services:

AWS

Azure

digitalocean

GCP


Versioning System:

GIT

svn


API/SDK integration:

facebook

Google


Favourite OS:

ubuntu

Anshul Verma's Projects

androidchat icon androidchat

Demonstrates using the Firebase Android SDK to back a ListView.

app-utility icon app-utility

The project contains library for various kinds of validations which are used in apps.

arc icon arc

The Abstraction and Reasoning Corpus

closed-eye-detection-with-opencv icon closed-eye-detection-with-opencv

First, using 'haarcascade_frontalface_alt.xml' to check if there is a face or not. Second, using 'haarcascade_eye_tree_eyeglasses.xml' to check if there is a opened-eye or not. Thus, If I get data: face(o) -> eyes(x), that is the person who is closing his eyes.

deep-learning-beginner icon deep-learning-beginner

Wildlife images captured in a field represent a challenging task while classifying animals since they appear with a different pose, cluttered background, different light and climate conditions, different viewpoints, and occlusions. Additionally, animals of different classes look similar. All these challenges necessitate an efficient algorithm for classification. In this challenge, you will be given 19,000 images of 30 different animal species. Given the image of the animal, your task is to predict the probability for every animal class. The animal class with the highest probability means that the image belongs to that animal class.

english-words icon english-words

:memo: A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion

google-services icon google-services

A collection of quickstart samples demonstrating the Google APIs for Android and iOS

kaggle icon kaggle

Data Analysis using datasets from Kaggle

langchain-chat-with-your-data icon langchain-chat-with-your-data

Explore LangChain and build powerful chatbots that interact with your own data. Gain insights into document loading, splitting, retrieval, question answering, and more.

mscproject icon mscproject

SemEval-2017 Task 11: End-User Development using Natural Language

myutility icon myutility

Small function which will create a logs in a separate folder.

shinebutton icon shinebutton

This is a UI lib for Android. Effects like shining.

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