Hostel Management System at IIT Gandhinagar Quiz
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Questions and Answers

What technology is used as a connector for seamless functionality in the hostel management website?

  • Django
  • Node.js
  • Ruby on Rails
  • Flask (correct)
  • What type of database system is utilized in the backend of the hostel management website?

  • Object-Oriented Database System
  • Graph Database System
  • Relational Database System (correct)
  • NoSQL Database System
  • What was the objective of the blockchain-based cash flow systems project?

  • To create a decentralized social network
  • To develop a new cryptocurrency
  • To build a gaming platform on blockchain
  • To transform financial transparency and effectiveness within public domain institutions (correct)
  • What was the focus of the Large Language Model trained for aspect-based analysis?

    <p>Aspect-based analysis on multilingual text</p> Signup and view all the answers

    What was the learning rate used for normalizing various metrics in the HINGE database?

    <p>0.001</p> Signup and view all the answers

    Study Notes

    Hostel Management Website Technology

    • Utilizes API (Application Programming Interface) technology to ensure seamless connectivity between different functionalities.
    • API serves as a bridge facilitating communication and data exchange among various services integrated into the website.

    Database System in Hostel Management

    • Employs a relational database management system (RDBMS) for the backend.
    • RDBMS organizes data into tables, providing efficient data retrieval and management capabilities for hostel-related information.

    Blockchain-Based Cash Flow Systems Project

    • Aimed to enhance transparency and security in financial transactions within organizational cash flow systems.
    • Focused on utilizing blockchain technology to create immutable records that can significantly reduce fraud and improve trust among stakeholders.

    Large Language Model Focus

    • Trained specifically for aspect-based sentiment analysis to understand sentiments related to specific aspects of products or services.
    • The model aims to dissect consumer feedback and provide insights into particular features that influence customer opinion.

    Learning Rate for HINGE Database Metrics

    • A learning rate of 0.01 was applied for normalizing various metrics in the HINGE database.
    • This learning rate helps in effectively adjusting the impact of different features during the model training process, enhancing overall performance.

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    Description

    Test your knowledge of hostel management systems with this quiz focused on the implementation and features of the Hostel Management System at IIT Gandhinagar. Explore topics such as relational database systems, SQL queries, Flask integration, and multilingual code mixed language transition.

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