Projects

Martial Arts Weppage

Project 1
This project is a responsive and interactive Martial Arts Website developed using HTML, CSS, and JavaScript. The website showcases various martial arts disciplines, class schedules, instructor profiles, and a gallery of training sessions. A standout feature of this project is the integration of a custom Chatbot, built to enhance user engagement and assist visitors in real-time. The chatbot provides instant responses to FAQs, helps with class bookings, and offers guided tours of the website's content. The UI is designed with modern CSS effects including gradients, animations, and responsive layouts to ensure accessibility on all devices. JavaScript is used extensively to handle interactive elements like navigation, modal pop-ups, and the chatbot interface.

Land Price Prediction Using Machine learning

Project 1
This project is a responsive and interactive Land Price Prediction System developed using HTML, CSS, and JavaScript for the frontend. It allows users to input property details through a dynamic web form. The backend leverages Machine Learning models that process data from a given CSV dataset to predict land prices. The model is trained to analyze various factors influencing land value. The entire system is executed using the PyCharm IDE, where a local server runs the application. Once users fill out the form, the system processes the input and displays the predicted land price as output.

Optimization of Thermodynamic Performance Metrics for Brine-to-Fluid Heat Exchangers

Project 1
This project is a comprehensive and interactive Thermodynamic Optimization Platform for analyzing brine-to-fluid heat exchangers. The frontend is developed using HTML, CSS, JavaScript, and React.js to ensure a responsive and user-friendly interface for visualizing thermal data and simulation results. The backend is implemented using Python with the Django framework, and MySQL is used for data storage and management. Backend services handle thermal calculations, data logging, and API endpoints for front-end consumption. The platform is optimized for performance and scalability.