NEXORA: An Integrated Student Productivity Workspace with AI-Based Resume Analysis
Keywords:
Applicant Tracking System (ATS), Django framework, Document processing, Generative AI, PyMuPDF, Resume analysis, Student productivity workspaceAbstract
Students often rely on multiple independent tools to manage academic resources, process documents, and prepare resumes, resulting in a fragmented workflow and requiring them to switch between different platforms. NEXORA addresses this problem by providing an integrated student productivity workspace within a single Django-based web application. The system provides a Resource Manager that allows students to organize study materials and useful resources into collections, with features such as starring, search, summaries, keywords, and a recoverable Trash. The Resume Analyzer uses Google's Gemini API to analyses uploaded resumes and generate structured feedback, including an overall score, ATS-related score, strengths, areas for improvement, and prioritized suggestions. The Document Toolkit provides eleven document-processing utilities for common operations such as merging, splitting, compressing, watermarking, rotating, page numbering, PDF creation, and conversion between PDF, DOCX, PPTX, and image formats. A Dashboard brings these modules together by providing usage statistics and a recent-activity view. The system is implemented using Django 5.2 as the backend framework, with PyMuPDF for PDF processing, python-docx and python-pptx for Office document handling, the Google Generative AI SDK for AI-assisted analysis, and Bootstrap 5 for the user interface. The application follows a modular architecture in which authentication, resource management, document processing, resume analysis, and dashboard functionality are organized into separate components while operating under a common user account. The resulting system provides students with a centralized workspace for organizing academic resources, processing documents, and improving resume content, reducing the need to switch between multiple independent applications for these activities.
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