International Journal on Science and Technology
E-ISSN: 2229-7677
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Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 4
October-December 2025
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StackSwipe: AI Based Networking Web App for Tech Professionals and Students
| Author(s) | Ms. Aarcha Ullasan, Mr. Prajwal R, Dr. Ram Krishna K |
|---|---|
| Country | India |
| Abstract | StackSwipe is a swipe-based web application that reimagines professional networking by adapting swipe interface patterns to career-focused relationship building. The research presented in this paper illustrates the design and development of a platform that uses an intuitive swipe interface, replacing traditional browsing, and shows how gamification can be responsibly applied to professional contexts. This application utilizes Next.js with Supabase for real-time messaging and PostgreSQL as the database management system, coupled with AI that generates personalized conversation starters and intelligent recommendations. The contribution lies in adapting consumer social application interfaces for professional use through careful consideration of context, user psychology, and technological infrastructure. The platform implements user authentication, profile management, and real-time communication designed for tech professionals seeking meaningful career connections. This study presents frameworks for building scalable social networking platforms and evidence for alternative interaction paradigms in career development tools. The implications inform the approach to applying gamification in professional software while maintaining user engagement, credibility, and professional integrity. |
| Keywords | Artificial intelligence-driven recommendations, professional networking, real-time messaging systems, swipe-based interfaces. |
| Field | Computer Applications |
| Published In | Volume 16, Issue 4, October-December 2025 |
| Published On | 2025-11-26 |
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IJSAT DOI prefix is
10.71097/IJSAT
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