Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Uni-Stroke Gesture Recognition from User Input
Implemented the $1 Uni-Stroke Gesture Recognizer using Python to allow real-time recognition of user gestures with high accuracy. An interactive interface showcases the algorithm’s capability to accurately recognize and differentiate between 16 distinct gestures.
Voter Trend Analysis: Interactive Visualization of Voting Patterns in the USA
Developed an interactive platform using Flask, SQL, and Angular to present complex SQL trend queries analyzing voting behaviors across the United States. Visitors can interact with visualizations that correlate voting patterns with economic indicators such as trade performance, average age, gun voilence, and GDP per capita.
Logo Classification using Modified Pretrained Machine Learning Models
This project showcases the development of a multi-layer Convolutional Neural Network (CNN) using a modified pretrained ResNet50V2 model for logo classification. The website features interactive visualizations of the model’s performance on a dataset of 10 different logos, achieving high accuracy rates.
Enhancing Predictive Analytics for Fetal Health Using Feature Selection
This project focuses on improving fetal health predictions by reducing feature complexity in machine learning models. We successfully identified key features that maintain high predictive accuracy, lowering healthcare costs and equipment needs.
Resume and Job Description Analyzer
Developed a Python-based tool utilizing advanced Natural Language Processing (NLP) to analyze and compare resumes against job descriptions. This application identifies key skills and calculates semantic similarity scores to evaluate the match quality between candidate resumes and job requirements.
Dynamic Job Portal
A comprehensive React application for job management. Users can view job postings, and have the ability to edit or delete jobs. The application features advanced React concepts like Router and hooks, enhancing user interaction and interface.
Note Taking Application
A robust Django and React-based application for efficient note management. Users can register, log in, and manage their notes with enhanced security through JWT authentication.
Task Calendar Pro
Streamline your daily planning with this Django and React-powered Todo Calendar Application. Register, log in, and manage tasks with security via JWT authentication.
Optimal Algorithms for Stock Trading Decisions
Developed and evaluated multiple algorithms to determine the best times to buy and sell stocks, aiming to maximize profits from stock price predictions. Our work highlights algorithmic efficiency and offers strategic insights for financial decision-making.
publications
Liver Disease Detection Using Machine Learning
Published in Annals of the Romanian Society for Cell Biology, 2021
Liver diseases are a significant global health concern. Early detection is crucial for effective treatment. This project developed a full-stack web application integrated with machine learning models to detect liver disease early. We used the UCI ILPD dataset and applied genetic algorithms and other optimization techniques to identify key predictive features. This approach enhanced model accuracy significantly, offering a valuable tool in medical diagnostics.
Download here
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.