Projects
An overview of my ongoing projects focused on the Artificial Intelligence in Science and Medicine at Florida Atlantic University. These projects involve the utilization of cutting-edge technologies such as microdot, HTML, and Python. Stay tuned for updates and details as these projects progress, showcasing the innovative applications of AI in the realms of science and medicine.
Statistical Approach in NHANES Health
Does BMI Category and Recreation Level influence Oral Glucose Levels, while accounting for Gender as a block? Null Hypothesis: No difference in mean glucose levels across BMI categories.
Alternative Hypothesis: No difference in mean glucose levels across recreation levels.
Binary Image Classification Using Convolutional Neural Networks (CNN) in Keras
This project focuses on building a Convolutional Neural Network (CNN) using Python and the Keras library to perform binary image classification. The goal is to accurately classify input images into one of two categories, such as distinguishing between cats and dogs. CNN demonstrates the effectiveness of deep learning techniques for binary image classification tasks.
Guessing Game
This is a number gussing game which provides feedback to indicate whether the player's guess is too high or too low, helping them narrow down their choices until they guess the correct number.
Trafic Light
The given project is a traffic light simulation implemented using Microdot, a Python web framework. The project aims to simulate a traffic light system using a web interface. It utilizes the Microdot framework, which is a lightweight and minimalistic web framework for Python. The traffic light system consists of three lights: red, yellow, and green. The lights change their states in a cyclical manner to simulate a real traffic light.
Counter Demo
The Counter Demo is a web application built with Microdot, showcasing a counter functionality. It provides a webpage with an initial counter value of 0 and two buttons: "Increment" and "Decrement". Clicking the buttons updates the counter accordingly. The project uses routes to handle the counter changes and generates HTML responses. It runs on a local server using the Microdot framework.
Pump Button Demo
The Pump Button Demo is a web application developed using Microdot. It simulates the control of an aquaponics system with two pumps: a water pump and an air pump. The application provides a webpage with buttons to toggle the status of each pump. The initial state of both pumps is set to 'OFF'. Clicking the buttons updates the system state and dynamically reflects the status of each pump on the webpage. The project utilizes routes to handle the toggling of pump states and generates HTML responses. It runs on a local server using the Microdot framework.
Testimonials
These testimonials provide valuable insights into the professional journey, expertise, and impact that Deepak has made in various role.