Department Digital Hub for Communication, Academic Operations and Technical Knowledge Intelligence

Project Code :TCMAFS1386

Objective

The main objective of the Department Digital Hub is to streamline departmental communication and academic operations efficiently. It aims to reduce information loss by centralizing student, faculty, and HOD interactions in a single platform. The system seeks to automate routine tasks such as attendance tracking, leave management, announcements, and polls. It provides a smart repository for projects to encourage reuse, prevent duplication, and facilitate easy access to past work. AI integration enables doubt resolution, note summarization, and intelligent technical search for improved learning support. The platform aims to generate insights through analytics on domain trends and technical contributions. It focuses on enhancing collaboration, knowledge sharing, and transparency across all academic and technical activities. Overall, it aspires to create a sustainable ecosystem for academic and technical intelligence within the department.

Abstract

The Department Digital Hub is a web-based platform designed to centralize departmental communication, academic operations, and technical knowledge management. It streamlines coordination among students, faculty, and HODs while preserving valuable academic and technical work. The system integrates automation features such as trigger-based notifications, poll tracking, and activity alerts to improve efficiency. A smart project repository leverages AI to categorize projects, detect duplicates, and identify reusable components. Intelligent analytics provide insights into domain trends and technical contributions over time. The platform also supports AI-based doubt resolution, note summarization, and natural language technical search via Gemini API. Overall, it enhances collaboration, reduces information loss, and encourages knowledge reuse across the department.

Keywords: Department Digital Hub, Academic Operations, Technical Knowledge Management, AI-based Doubt Resolution, Project Repository, Automation, Reusable Components, Gemini API.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

SOFTWARE REQUIREMENTS:

  • Operating System                   :   Windows10/11 or macOS
  • Application Server                  :   Tomcat 7.0             

Β·         Front End                                :   HTML ,CSS,  React Js

Β·         Scripts                                     :   JavaScript.

Β·         Backend Language                 :   Java with Spring Boot

Β·         Database                                 :   MySQL

Β·         IDE                                         :   IntelliJ IDEA or Eclipse

HARDWARE REQUIREMENTS:

Β·         Processor                                 : Intel i3 or equivalent

Β·         RAM                                       : 4GB

Β·         Hard Disk                                :  500 GB

Demo Video

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