International Journal on Science and Technology

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Skill-Connect AI - Skill Sharing with smart Interviewer

Author(s) Chetan Bhatu Patil, Krushna Arvind Jathar, Vasudha Gopinath Deore, Chetana Subhash Gosavi, Deoyani Nitin Endait
Country India
Abstract The Skill Exchange Platform is a web-based application that directly connects individuals who want to share and learn skills, promoting collaborative learning and mutual growth. It allows users to build detailed user profiles describing their skills, experience level, and learning interests, enabling effective peer-to-peer (P2P) learning and better skill matching. A skill matching algorithm analyzes these profiles to identify complementary skill sets and suggest relevant connections. The platform includes a skill marketplace for browsing opportunities, along with integrated communication tools such as chat and video calls, task tracking with milestones, and a feedback system to capture reviews and improve trust and verification. It also promotes community building by allowing users to share experiences and track their progress through learning analytics. Security and privacy are ensured through strong authentication and controlled access.
In addition, the platform features an Artificial Intelligence (AI) interviewer powered by a Large Language Model (LLM) for mock interview system functionality, supporting both technical interview preparation and Human Resources (HR) interview simulation. The AI dynamically generates role-specific questions, maintains conversational flow, and evaluates responses based on clarity, relevance, and communication skills. It provides personalized learning feedback, scoring, and improvement suggestions, helping users enhance their job readiness. To boost engagement, gamification elements such as badges, streaks, and leaderboards are incorporated. The platform addresses key challenges like scheduling conflicts and trust-building through structured workflows. Future enhancements include advanced AI-based recommendations, voice-enabled interviews, group learning features, mobile application support, and deeper analytics.
Overall, the platform aims to create a robust ecosystem for efficient skill exchange and AI-driven interview preparation.
Keywords Skill Exchange Platform, Collaborative Learning, Peer-to-Peer (P2P) Learning, Skill Matching Algorithm, Artificial Intelligence (AI), Large Language Model (LLM), Natural Language Processing (NLP), Mock Interview System, Technical Interview Preparation, Human Resources (HR)
Field Engineering
Published In Volume 17, Issue 2, April-June 2026
Published On 2026-05-15
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