2025

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EDVENITY
(UMT, Lahore, 2025) Abdul Rehman, Awais Anwar, Muhamad Yahya, Soban Ahmed and Syed Behzad Hassan Naqvi
This report outlines the overall planning, designing, and initial implementation of Edvenity, an integrated AI-based system designed to support university students in their career development and academic pursuits. Edvenity combines different modules such as AI Tutor for personalized academic advice, an Educational Community Platform for collaborative learning, and an AI Interviewer designed to conduct realistic job interviews along with personalized feedback—into a single, cohesive framework. By utilizing the latest day technologies such as FastAPI, React.js, VAPI, and OpenAI in Linux and Windows environments, the project is developed in a way that guarantees scalability, robustness, and user-centric performance. The documentation discusses in detail the project goals, domain analysis, system architecture, requirements analysis, and the techniques used during the development phase, specifically for the AI Interviewer module developed in this FYP-1. The report also includes information about the testing approaches, implementation steps, and the upcoming improvements expected, thus laying a strong foundation for the final product. Finally, Edvenity is envisioned as a revolutionary tool empowering students by bridging academic learning and professional readiness, thus ensuring a seamless learning process