Unified AI-Based SaaS Platform Delivering Comprehensive Integrated Services
Authors
Omkar Shewale
Department of Information Technology Trinity College of Engineering and Research Savitribai Phule Pune University, Pune, Maharashtra, India (IN)
Prathamesh Shinde
Department of Information Technology Trinity College of Engineering and Research Savitribai Phule Pune University, Pune, Maharashtra, India (IN)
Jayesh Upare
Department of Information Technology Trinity College of Engineering and Research Savitribai Phule Pune University, Pune, Maharashtra, India (IN)
Prof. Pravin Patil
Department of Information Technology Trinity College of Engineering and Research Savitribai Phule Pune University, Pune, Maharashtra, India (IN)
Article Information
DOI: 10.51583/IJLTEMAS.2026.150500251
Subject Category: Information Technology
Volume/Issue: 15/5 | Page No: 3077-3089
Publication Timeline
Submitted: 2026-06-23
Published: 2026-06-23
Abstract
In the modern digital era, users frequently rely on different applications for tasks such as content writing, plagiarism detection, text summarization, interview preparation, and image editing. Managing multiple platforms for these activities often interrupts workflow, increases effort, and affects overall productivity. To simplify this process, this paper introduces Quick.ai, an AI-powered Software-as-a-Service (SaaS) platform that combines several intelligent tools into a single web application. The platform is developed using the PERN stack, which includes PostgreSQL, Express.js, React.js, and Node.js, allowing the system to remain scalable, responsive, and efficient. Quick.ai provides features such as Post Creator, Prompt Generator, Text Summarizer, Plagiarism Checker, Interview Question Generator, Repurpose Engine, Background Removal, and Object Removal. Testing and evaluation of the platform showed improved workflow management and stable performance across all modules. The system achieved a content quality score of 4.3 out of 5, text summarization accuracy of 87%, and image processing accuracy ranging from 70% to 80%.
Keywords
Artificial Intelligence, SaaS Platform, PERN Stack, Text Summarization, Image Processing, Content Generation
This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
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References
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