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šŸ”— Hi there, I am Akash Martule šŸ‘‹

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  • šŸ”­ Iā€™m currently Studing at Dr. D. Y. Patil Institute of Technology, Pimpri.
  • šŸŒ± Iā€™m currently learning Data Science.
  • šŸ‘Æ Iā€™m looking to collaborate on web technology.
  • šŸ¤” Iā€™m looking for help with data science.
  • šŸ’¬ Ask me about Front End and python.
  • šŸ˜„ Pronouns: He/His .
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akashmartule's Projects

awesome-portfolio-websites icon awesome-portfolio-websites

A community maintained open source project aimed at making a personal portfolio for researchers, developers, and analysts simple, fast, and less cumbersome. We make sure you have a full-fledged website to showcase your work while you can spend time on your learning and innovative endeavors.

bootstrap icon bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

dsa_marathon icon dsa_marathon

A full-fledged DSA marathon from 0 to 100. An initiative by GFG IIST Chapter and CodeChef IIST Chapter.

etch-a-sketch icon etch-a-sketch

A browser version of something between a sketchpad and an Etch-A-Sketch built using HTML, CSS and Javascript.

form icon form

based on basic html and css project

hire-me icon hire-me

DBMS Mini-project: Recruitment Management System

quote-room icon quote-room

This is a react based project, which aims to have a large collection of quotes all at one place. It welcomes everyone for contributions. šŸŽ‰

railway-management-system icon railway-management-system

Railway Management System website built as course project in DBMS subject,B.Tech. Used SQL , html ,css and php.

sentiment-predictor-for-stress-detection icon sentiment-predictor-for-stress-detection

Voice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed), with high stress seen as an indication of deception. In this work, we propose a deep learning-based psychological stress detection model using speech signals. With increasing demands for communication between humans and intelligent systems, automatic stress detection is becoming an interesting research topic. Stress can be reliably detected by measuring the level of specific hormones (e.g., cortisol), but this is not a convenient method for the detection of stress in human- machine interactions. The proposed algorithm first extracts Mel- filter bank coefficients using pre-processed speech data and then predicts the status of stress output using a binary decision criterion (i.e., stressed or unstressed) using CNN (Convolutional Neural Network) and dense fully connected layer networks.

system-design-primer icon system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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