Chandana

This project involves the development of a deep learning model to identify various ocular diseases from fundus images. Using convolutional neural networks (CNNs), I trained the model on a dataset consisting of images labeled for conditions such as diabetic retinopathy and glaucoma. The application of this model can significantly aid in early diagnosis, leading to timely intervention and treatment, ultimately enhancing patient outcomes.

This Python-based application converts text content into audio, making literary works accessible to a wider audience, including those with visual impairments or reading difficulties. Users can upload text files, and the application uses text-to-speech technology to produce high-quality audio output. The application also features a user-friendly interface, allowing users to navigate through different chapters easily and control playback settings.

In this project, I employed the Apriori Algorithm to analyze market basket data to uncover hidden patterns in consumer behavior. By identifying relationships between different items purchased together, this analysis can inform marketing strategies and inventory management. The project involved data preprocessing, applying the algorithm, and visualizing the results to provide actionable insights that can boost sales and customer satisfaction.

The Banking Management System is a desktop application designed to manage banking operations efficiently. Built using Python's Tkinter library for the graphical user interface (GUI) and SQL for database management, this project enables users to perform a range of banking activities from a single application.