My PROJECTS

Alzheimer's severity detection using ResNet architecture

Libraries: Numpy, Pandas, matplotlib.pyplot, scikit-learn
Frameworks: Tensorflow, keras

  1. Developed a CNN deep learning model to detect Alzheimer's disease from brain MRI scans.
  2. Achieved an accuracy of 99% on a publicly available dataset of MRI scans from Alzheimer's patients and healthy controls.
  3. Proposed a novel CNN architecture that is able to extract relevant features from MRI scans that are indicative of Alzheimer's disease.

Personal Blog/Diary using private API

HTML5, CSS3, JavaScript, Node.js, Expressjs

  1. Built a private API using Node.js and Express.js to handle diary entries. This demonstrates my ability to use popular web development technologies to build robust and scalable back-end systems.
  2. Developed a user-friendly web interface using HTML, CSS, and JavaScript to allow users to create, read, update, and delete diary entries. This shows my skills in front-end development and to create intuitive and user-friendly interfaces.
  3. Demonstrated a good understanding of web development principles by building a functional and secure web application.

TaskMaster - a web application to track work

HTML5, CSS3, JavaScript

  1. Developed a user-friendly to-do list web application using HTML, CSS, and JavaScript. This demonstrates my skills in front-end development and my ability to create intuitive and user-friendly interfaces.
  2. Implemented features such as task creation, editing, deletion, and completion tracking. This shows my ability to develop functional and feature-rich web applications.
  3. Used basic front-end technologies to build a robust and efficient web application. This highlights my understanding of web development fundamentals and to apply them to create practical applications.

Tkinter Number Ninja - GUI based calculator

python, tkinter

  1. Developed a functional calculator using the Tkinter library in Python. This demonstrates my skills in GUI development and my ability to use Python libraries to build robust and user-friendly applications.
  2. Implemented various calculator features, such as basic arithmetic operations, trigonometric functions, and scientific calculations. This shows my understanding of mathematical concepts and to apply them to develop practical applications.
  3. Used the Tkinter library to create a visually appealing and easy-to-use calculator interface. This highlights my ability to design and implement intuitive and user-friendly interfaces.

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My PAPERS

Submitted to a few journals, will update here once it gets published