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Hi šŸ‘‹, I'm Nilkanth Shet Shirodkar

A passionate Full Stack Developer from India

  • šŸ”­ Iā€™m currently working on Blockchain

  • šŸŒ± Iā€™m currently learning Docker, kubernetes

  • šŸ‘Æ Iā€™m looking to collaborate on containerizing apps

  • šŸ‘Øā€šŸ’» All of my projects are available at https://www.linkedin.com/in/nilkanthshirodkar/

  • šŸ’¬ Ask me about Javascript, Angular, Python

  • šŸ“« How to reach me [email protected]

  • āš” Fun fact Playing TT

nilkanthshet nilkanthshirodkar nilkanthshirodkar nilkanth_shet_shirodkar

Nilkanth Shirodkar's Projects

dockerfile icon dockerfile

Create ubuntu docker file and type "docker build -t filename . " and then start running container using command "docker run -it filename"

fake-news-detection icon fake-news-detection

Building Fake News Detection using Angular 6 in the frontend, Node JS in Backend to build API using Express JS and Python Scikit Learn machine learning package for detecting Fake News.

labs icon labs

Container Images and Registry

porter-stemming-algorithm icon porter-stemming-algorithm

Porter stemming algorithm is a process for removing the commoner morphological and inflexional endings from words in Konkani. Mostly Used by Google Search Engine

postgresql-kubernetes icon postgresql-kubernetes

Deploy PostgreSQL on Kubernetes => Postgres Docker Image, Config Maps for storing Postgres configurations, Persistent Storage Volume, PostgreSQL Deployment, PostgreSQL Service

sitemap-crawler icon sitemap-crawler

Add your sitemap and run the project, code will start scanning links and will get indexed in google search

speech-recognition-using-hmm icon speech-recognition-using-hmm

Automatic Speech Recognition (ASR) system was implemented using the HMM toolkit for building HMM model using training data. Then, this trained HMM Model was used for recognising words and results revealed that 80.02% accuracy for Phoneme Level Acoustic Model and 79.36% accuracy for word Level Acoustic Model. This developed system can be used by developers and researchers who are interested in speech recognition for language and any other related Indian languages.

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