Calorie Tracker with Food Classification and Nutritional Analysis
Developed a web-based Calorie Tracker with Food Classification and Nutritional Analysis application using Python (Flask), HTML, CSS, and JavaScript to help users monitor their dietary intake. Integrated a machine learning model (Random Forest) to classify food items based on nutritional values such as proteins, fats, and carbohydrates. Utilized the Spoonacular API to fetch real-time food and nutrition data, ensuring accuracy and reliability. Implemented interactive data visualizations using Chart.js to display calorie consumption and nutrient distribution. Designed a SQLite database for efficient storage of user data and food logs, achieving around 85–90% model accuracy and enabling users to track and improve their dietary habits effectively.
Sudoku Game with GUI using Java
Created an interactive desktop-based puzzle game developed in Java using Swing/AWT for the graphical user interface. The game allows players to solve standard 9×9 Sudoku puzzles, where the objective is to fill the grid so that each row, column, and 3×3 subgrid contains the digits 1–9 without repetition.
Building Modern Web Application with MERN Stack
A Service for Delivering Food (Zomato Clone) with MERN Technology. This project is a web-based food delivery platform built using the MERN stack, designed to connect customers with restaurants for seamless online ordering and delivery. The website is developed using MongoDB, Express.js, React.js, and Node.js, ensuring a responsive frontend, efficient backend, and secure data management. It includes user authentication, menu browsing, cart management, and payment integration for a complete food ordering experience.
Building Modern Web Application with MERN Stack: Zomato Clone
Built a web-based food delivery platform using MongoDB, Express.js, React.js, and Node.js, including user authentication, menu browsing, cart management, and payment integration.