You are currently exploring a project hosted on my Oracle Virtual Machine in the cloud. This project demonstrates real-time functionality and showcases both my development and cloud hosting skills, aimed at providing impactful solutions.
This Currency Converter application was developed using the Django framework, with real-time conversion data fetched through third-party API integration. The application was deployed on Oracle Cloud Infrastructure, showcasing both backend development and cloud hosting skills. A core part of the project was using Python to handle the logic behind the currency conversion, while also leveraging machine learning to predict future exchange rates, optimizing the conversion process and making it more accurate over time.
The key objective was to provide a smooth, real-time, and efficient currency conversion tool with an easy-to-use interface, making it a valuable tool for both users and businesses. The project also focused on providing an intuitive and responsive web design, ensuring accessibility across different devices.
1. Django Framework: Leveraged Django to build the backend of the application, ensuring smooth data handling, efficient routing, and scalability.
2. API Integration: Integrated third-party APIs for real-time currency conversion data, demonstrating skills in working with external data sources.
3. Cloud Hosting (Oracle Cloud Infrastructure): Deployed the application on Oracle Cloud, showcasing proficiency in cloud technologies and web hosting.
4. Python & Machine Learning: Applied Python for backend logic and used machine learning techniques to predict currency exchange rates, optimizing the conversion process.
5. Responsive Web Design: Ensured the web application is mobile-friendly and responsive, creating an intuitive user interface for a seamless experience.