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.
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.
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.
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.
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.
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.
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.
Streamline your daily planning with this Django and React-powered Todo Calendar Application. Register, log in, and manage tasks with security via JWT authentication.
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.