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@article{190048,
        author = {Kawale Vaishnavi Shrimant and Bedre Shrapti Ramchandra and Prof. Dr. A. A. Patil and Prof. N. M. Kamble},
        title = {QuickAI – An AI Powered SaaS Application for Unified AI Services},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {2800-2803},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190048},
        abstract = {Artificial Intelligence (AI) has become a core component of modern Software as a Service (SaaS) platforms; however, many AI tools remain difficult to use due to complex interfaces. This paper presents QuickAI, an AI-powered SaaS application that provides multiple AI services through a unified and user-friendly web interface. The proposed system focuses on frontend development using React.js and adopts a component-based architecture to ensure scalability and responsiveness. In the current phase, AI features such as content generation and image processing are implemented using mock data to simulate AI behavior. The application also includes authentication interfaces, subscription visualization, and account management modules. The results highlight that effective frontend design significantly improves accessibility to AI services and provides a strong foundation for future backend and AI integration.},
        keywords = {Artificial Intelligence, SaaS, React.js, Frontend Development, Web Application},
        month = {January},
        }