• Implemented the project using Python, TensorFlow for model training, and Google Cloud Platform (GCP) for infrastructure management, utilizing Cloud Storage for data storage and Cloud Functions for serverless compute.• Developed a web interface with Flask for user interactions. Integrated with Google Cloud Identity-Aware Proxy (IAP) for secure access control. Added real-time interaction features using Socket.IO to enhance user experience.• Built the backend using TensorFlow and Hugging Face Transformers library for fine-tuning pre-trained language models, leveraging Google AI Platform for scalable training. Employed Google Kubernetes Engine (GKE) for orchestrating containerized applications.• Implemented OAuth2 for secure access, utilized Google Pub/Sub for asynchronous messaging between services, integrated logging and monitoring with Google Stackdriver, and created a RESTful API for serving the language model predictions.

• Implemented the service with Java, Spring Boot, PostgreSQL, Docker, utilizing Maven for project management and Jenkins for CI/CD, ensuring comprehensive testing with JUnit and Mockito. Used SonarQube for static code analysis and maintaining code quality.• Developed the frontend with Angular, NgRx, Bootstrap, leveraging Angular Material for design consistency and Axios for efficient API communication, and utilized RxJS for reactive programming and improved performance.• Built the backend with Spring Boot and PostgreSQL, using Spring Data JPA and Hibernate for data management, utilized Spring Cloud for microservices and Eureka for service discovery, employed Spring Boot Actuator for application monitoring.• Implemented user authentication with Spring Security and OAuth2, integrated Stripe API for payments, used Elasticsearch for search functionality, RabbitMQ for asynchronous processing, and Spring Mail for email notifications.

• Implemented the service with Golang, gRPC, and MongoDB for real-time house price predictions. Utilized gRPC for efficient communication between microservices. Employed Docker for containerization, Kubernetes for orchestration.• Developed the frontend with ReactJS, Redux, and Tailwind CSS for a responsive user interface. Leveraged React Router for seamless navigation and state management with Redux to handle complex application states.• Developed the RESTful API with Golang, Gin framework, and MongoDB. Employed Gin for its performance and simplicity, allowing for rapid development of RESTful endpoints and MongoDB for flexible schema design and efficient querying.• Implemented JWT (JSON Web Tokens) for secure access control. Integrated email notifications using SendGrid for user registration and password recovery and utilized Chart.js for visualizing housing trends and predictions.

CPS 2232 Data Structures & AlgorithmCPS 4150 Computer Architecture