What question did this study set out to answer?

The aim is to develop an integrated platform that improves learning and career preparation for undergraduate students.

June 1, 20260 citationsOpen Access

EduSYN: An AI-Powered Academic and Career-Tech Ecosystem for Intelligent Learning, PYQ Intelligence, and Placement Readiness

Key Points

The aim is to develop an integrated platform that improves learning and career preparation for undergraduate students.
Utilized a unified AI-powered ecosystem for academic support and career readiness.
Integrated various components including OCR-based question extraction and resume analysis.
Tested the system architecture and implementation methodology for effectiveness.
Significant improvement in learning efficiency observed with structured educational data integration.
Enhanced examination preparation metrics reported using AI-assisted notes generation.
Increased placement readiness indicated by successful ATS resume analysis outcomes.

Abstract

EduSYN is an AI-powered Academic and Career-Tech Ecosystem designed to address the fragmented learning and career preparation environment commonly experienced by undergraduate students. The platform integrates academic resource management, Previous Year Question (PYQ) intelligence, OCR-based question extraction, AI-assisted notes generation, ATS resume analysis, resume building, attendance and CGPA tracking, community interaction, and career roadmap planning within a unified system. The architecture combines PHP, FastAPI, MySQL, OCR processing, and AI-driven analytics to provide personalized academic and career support. The system utilizes structured educational data and intelligent processing pipelines to improve learning efficiency, examination preparation, and placement readiness. This research paper presents the architecture, implementation methodology, AI workflow, testing outcomes, limitations, and future enhancement opportunities of the EduSYN platform.

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