Projects

I recently built a Java web application that lets users register, log in, create various account types (savings, fixed, loan) and perform secure transactions. I’ve used servlets and JSPs to create a fluid and user-friendly experience. The use of BigDecimal ensures precise monetary handling while rigorous validations protect against bad input. Directing users to customized views based on their account types creates a tailored experience. This project underscores my ability to handle complex logic and develop robust web applications.

A simple innovative product prediction application created using Python, Flask, image processing, and machine learning enables users to predict product characteristics from images. The application utilizes Flask for the backend, handling user requests and serving predictions. Image processing techniques preprocess input images, and machine learning models, created using TensorFlow on Google Colab, analyze the data to make predictions. Key features include image upload, real-time predictions, and displaying results. This setup integrates image processing and advanced machine learning to provide accurate and efficient product predictions.

A simple iOS health application created using Swift and UIKit without storyboards allows users to track their fitness activities and health metrics. The app features a user interface coded programmatically in Swift, utilizing UIKit components. Key functionalities include logging workouts, tracking daily steps, monitoring heart rate, and displaying health data in charts. The app leverages Core Data for local storage and HealthKit for integrating with the iOS health ecosystem. This approach provides a flexible, customizable, and efficient way to develop a robust health tracking application.

A Java project for locating garbage bins includes two separate applications: one for drivers and one for people. The driver app helps waste collectors navigate to garbage bins efficiently, using real-time location data to optimize routes. The people app allows users to check the availability of space in nearby bins, helping them decide where to dispose of their waste. Both apps interact with a central database that tracks bin locations and fill levels, providing accurate and timely information for effective waste management and improved service.

A simple food application created using API, JavaScript, and React allows users to search for recipes and view detailed information. The application fetches data from a food API, such as recipe names, ingredients, and cooking instructions. Key features include a search bar for querying recipes, a list view for displaying search results, and a detailed view for selected recipes. React handles the user interface, JavaScript manages the application logic, and the API provides the necessary data. This approach ensures a dynamic, responsive, and user-friendly experience for food enthusiasts.