Web -Based Leave Approval System With AI-Assistance

Managing leave requests in organizations and educational institutions is often a time-consuming process due to manual handling and lack of structured systems. Traditional approaches rely on paper-based applications or informal communication methods, which can result in delays, miscommunication, and lack of transparency. This project presents a Web-Based Leave Approval System with AI-Based Email Assistance, developed using Flask, HTML, and CSS. The system allows users to apply for leave through an online portal, while administrators or staff can review, approve, or reject requests efficiently. A key feature of this system is the integration of an AI-based email generation module, which helps users create professional leave request emails automatically based on their input. The system evaluates factors such as leave type, duration, and reason, ensuring proper validation and structured processing. By automating the leave workflow, the system reduces manual effort, improves response time, and enhances communication. It is scalable, user-friendly, and suitable for real-time applications.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-18
DOI
https://doi.org/10.5281/zenodo.20267535
Primary Topic
Personal Information Management and User Behavior
Type
article
Field-Weighted Citation Impact
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article

Web -Based Leave Approval System With AI-Assistance

V. Kamalaveni, Pravin V, Nithish Kumar S, Killivalavan T
Zenodo (CERN European Organization for Nuclear Research)
Personal Information Management and User Behavior
article

Web -Based Leave Approval System With AI-Assistance

V. Kamalaveni, Pravin V, Nithish Kumar S, Killivalavan T
article en

Abstract

Managing leave requests in organizations and educational institutions is often a time-consuming process due to manual handling and lack of structured systems. Traditional approaches rely on paper-based applications or informal communication methods, which can result in delays, miscommunication, and lack of transparency. This project presents a Web-Based Leave Approval System with AI-Based Email Assistance, developed using Flask, HTML, and CSS. The system allows users to apply for leave through an online portal, while administrators or staff can review, approve, or reject requests efficiently. A key feature of this system is the integration of an AI-based email generation module, which helps users create professional leave request emails automatically based on their input. The system evaluates factors such as leave type, duration, and reason, ensuring proper validation and structured processing. By automating the leave workflow, the system reduces manual effort, improves response time, and enhances communication. It is scalable, user-friendly, and suitable for real-time applications.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 4%
Personal Information Management and User Behavior
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