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ajaynair710/README.md

Hi there 👋, I am Ajay Prakash Nair! 😁

Hello, my name is Ajay Prakash Nair, and I am a master's student at Università Ca' Foscari Venezia majoring in Computer Science. I am a frontend developer with two years of experience working as a Frontend Developer at Fidelity National Information Services, Inc. (Chennai, India) and as an intern at BMAT Music Innovators (Barcelona, Spain). Currently, I am interning as an SDE Intern with MTraversari (Venice, Italy). My technology stack includes MySQL, JavaScript, Angular.js, Vue.js, Nuxt.js, Cypress, SQL and HTML/CSS/Bootstrap. Besides programming, I have a keen interest in designing and Sports Analytics.

  • 🔭 I’m currently exploring Sports Analytics.
  • 💬 Brainstorm with me over tech, algorithms, career, and sports.
  • 👯 I’m looking to collaborate on Web Dev, Sports Analytics & ML Projects.
  • ⚡ Fun fact: Friends call me Super Mario!
  • 📫 How to reach me: ajaynair710@gmail.com
  • 😄 Pronouns: Programmer/He/Him

Languages and Tools:

JavaScript   Python   C   Android   HTML5   CSS3   jQuery   Bootstrap   MySQL   Git   GitHub   LATEX  

Ajay's Github Stats Top Langs

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  1. player-tracking-and-posession-calculation player-tracking-and-posession-calculation Public

    This repository contains a comprehensive computer vision/machine learning football project that uses YOLO for object detection, Kmeans for pixel segmentation, optical flow for motion tracking, and …

    Jupyter Notebook

  2. la-liga-match-predictor la-liga-match-predictor Public

    The objective of this project is to analyze the statistical data of the Spanish La Liga football league spanning the last 9 seasons and predicting the result for the 2023/2024 season.

    HTML

  3. OCR-and-Document-Search-Web-Application OCR-and-Document-Search-Web-Application Public

    Web app for extracting text from images/documents using OCR; includes keyword search functionality.

    Python

  4. Diabetic-Retinopathy-Detection Diabetic-Retinopathy-Detection Public

    Deep Learning classification technique using CNN pretrained model resnet152 to classify severity levels of DR ranging from 0 (NO DR) to 4 (Proliferative DR)

    Jupyter Notebook

  5. Smartphone-RTI Smartphone-RTI Public

    Reflectance Transformation Imaging (RTI) using OpenCV in python

    Python

  6. flutter-projects flutter-projects Public

    Basic flutter projects for learning purpose

    Dart 1