In the evolving field of veterinary care, the integration of modern technology is crucial to enhancing the efficiency and accessibility of services. This thesis presents the development of a web-based real-time communication service, designed specifically for veterinary assistance, as part of my work at a company called Aitem on the project Laika. In this project, I served as the software engineer responsible for designing and developing the backend as well as managing the DevOps infrastructure. The primary objective of this project is to build a reliable and user-friendly platform that facilitates seamless interactions between veterinary professionals and an AI-enhanced system. The system leverages cutting-edge web technologies to ensure real-time communication, reliability, and security. Our approach includes a detailed analysis of the system requirements, design specifications, and the implementation process. The Front-end is developed using modern JavaScript frameworks to provide an intuitive and responsive user interface, while the Back-end, which I developed, employs robust server-side technologies to handle real-time data processing and storage efficiently. Additionally, I managed the DevOps processes, ensuring smooth deployment and operation of the system. Key features of the system include user authentication, secure data transmission, real-time messaging, and an integrated scheduling system for AI-assisted virtual consultations. We also address challenges related to data privacy and security, ensuring that sensitive information is protected in compliance with industry standards. The system is tested through a series of rigorous validation procedures to ensure it meets the functional and performance criteria. Preliminary results demonstrate the platform's potential to significantly improve the efficiency and accuracy of veterinary care through enhanced communication capabilities with the AI system. This thesis contributes to the field by providing a comprehensive guide to developing a real-time communication service tailored to veterinary assistance, highlighting both the challenges encountered and the solutions implemented. Future work will focus on integrating additional advanced features and expanding the system to accommodate a broader range of veterinary services.

In the evolving field of veterinary care, the integration of modern technology is crucial to enhancing the efficiency and accessibility of services. This thesis presents the development of a web-based real-time communication service, designed specifically for veterinary assistance, as part of my work at a company called Aitem on the project Laika. In this project, I served as the software engineer responsible for designing and developing the backend as well as managing the DevOps infrastructure. The primary objective of this project is to build a reliable and user-friendly platform that facilitates seamless interactions between veterinary professionals and an AI-enhanced system. The system leverages cutting-edge web technologies to ensure real-time communication, reliability, and security. Our approach includes a detailed analysis of the system requirements, design specifications, and the implementation process. The Front-end is developed using modern JavaScript frameworks to provide an intuitive and responsive user interface, while the Back-end, which I developed, employs robust server-side technologies to handle real-time data processing and storage efficiently. Additionally, I managed the DevOps processes, ensuring smooth deployment and operation of the system. Key features of the system include user authentication, secure data transmission, real-time messaging, and an integrated scheduling system for AI-assisted virtual consultations. We also address challenges related to data privacy and security, ensuring that sensitive information is protected in compliance with industry standards. The system is tested through a series of rigorous validation procedures to ensure it meets the functional and performance criteria. Preliminary results demonstrate the platform's potential to significantly improve the efficiency and accuracy of veterinary care through enhanced communication capabilities with the AI system. This thesis contributes to the field by providing a comprehensive guide to developing a real-time communication service tailored to veterinary assistance, highlighting both the challenges encountered and the solutions implemented. Future work will focus on integrating additional advanced features and expanding the system to accommodate a broader range of veterinary services.

Developing a web-based real-time communication service: an AI-enhanced chat system for veterinary assistance

ERFANIANOMIDVAR, ALI
2023/2024

Abstract

In the evolving field of veterinary care, the integration of modern technology is crucial to enhancing the efficiency and accessibility of services. This thesis presents the development of a web-based real-time communication service, designed specifically for veterinary assistance, as part of my work at a company called Aitem on the project Laika. In this project, I served as the software engineer responsible for designing and developing the backend as well as managing the DevOps infrastructure. The primary objective of this project is to build a reliable and user-friendly platform that facilitates seamless interactions between veterinary professionals and an AI-enhanced system. The system leverages cutting-edge web technologies to ensure real-time communication, reliability, and security. Our approach includes a detailed analysis of the system requirements, design specifications, and the implementation process. The Front-end is developed using modern JavaScript frameworks to provide an intuitive and responsive user interface, while the Back-end, which I developed, employs robust server-side technologies to handle real-time data processing and storage efficiently. Additionally, I managed the DevOps processes, ensuring smooth deployment and operation of the system. Key features of the system include user authentication, secure data transmission, real-time messaging, and an integrated scheduling system for AI-assisted virtual consultations. We also address challenges related to data privacy and security, ensuring that sensitive information is protected in compliance with industry standards. The system is tested through a series of rigorous validation procedures to ensure it meets the functional and performance criteria. Preliminary results demonstrate the platform's potential to significantly improve the efficiency and accuracy of veterinary care through enhanced communication capabilities with the AI system. This thesis contributes to the field by providing a comprehensive guide to developing a real-time communication service tailored to veterinary assistance, highlighting both the challenges encountered and the solutions implemented. Future work will focus on integrating additional advanced features and expanding the system to accommodate a broader range of veterinary services.
2023
Developing a web-based real-time communication service: an AI-enhanced chat system for veterinary assistance
In the evolving field of veterinary care, the integration of modern technology is crucial to enhancing the efficiency and accessibility of services. This thesis presents the development of a web-based real-time communication service, designed specifically for veterinary assistance, as part of my work at a company called Aitem on the project Laika. In this project, I served as the software engineer responsible for designing and developing the backend as well as managing the DevOps infrastructure. The primary objective of this project is to build a reliable and user-friendly platform that facilitates seamless interactions between veterinary professionals and an AI-enhanced system. The system leverages cutting-edge web technologies to ensure real-time communication, reliability, and security. Our approach includes a detailed analysis of the system requirements, design specifications, and the implementation process. The Front-end is developed using modern JavaScript frameworks to provide an intuitive and responsive user interface, while the Back-end, which I developed, employs robust server-side technologies to handle real-time data processing and storage efficiently. Additionally, I managed the DevOps processes, ensuring smooth deployment and operation of the system. Key features of the system include user authentication, secure data transmission, real-time messaging, and an integrated scheduling system for AI-assisted virtual consultations. We also address challenges related to data privacy and security, ensuring that sensitive information is protected in compliance with industry standards. The system is tested through a series of rigorous validation procedures to ensure it meets the functional and performance criteria. Preliminary results demonstrate the platform's potential to significantly improve the efficiency and accuracy of veterinary care through enhanced communication capabilities with the AI system. This thesis contributes to the field by providing a comprehensive guide to developing a real-time communication service tailored to veterinary assistance, highlighting both the challenges encountered and the solutions implemented. Future work will focus on integrating additional advanced features and expanding the system to accommodate a broader range of veterinary services.
Development
Socket
Real-time
Veterinary Assistant
Full-stack
File in questo prodotto:
File Dimensione Formato  
Erfanianomidvar_Ali.pdf

accesso riservato

Dimensione 3.39 MB
Formato Adobe PDF
3.39 MB Adobe PDF

The text of this website © Università degli studi di Padova. Full Text are published under a non-exclusive license. Metadata are under a CC0 License

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/72827