AI-Based Designing of Assistive Portal for Stakeholders in Approval Process

AI-Based Designing of Assistive Portal for Stakeholders in Approval Process" aims to simplify and automate the complex procedures involved in obtaining approvals from regulatory bodies like the All-India Council for Technical Education (AICTE). The proposed system is a web-based assistive portal that leverages artificial intelligence and data modeling techniques to guide stakeholders through various stages of the approval process. Key features include a chatbot interface for interactive assistance, document analysis tools, multilingual support, and rule-based validation mechanisms. By integrating these technologies, the portal reduces human error, enhances accessibility, and ensures regulatory compliance, thereby improving efficiency and transparency in the approval workflow. This solution is especially valuable for educational institutions, administrators, and policy implementers navigating the often convoluted and document-heavy approval procedures.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.15286451
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
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article

AI-Based Designing of Assistive Portal for Stakeholders in Approval Process

Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

AI-Based Designing of Assistive Portal for Stakeholders in Approval Process

article en

Abstract

AI-Based Designing of Assistive Portal for Stakeholders in Approval Process" aims to simplify and automate the complex procedures involved in obtaining approvals from regulatory bodies like the All-India Council for Technical Education (AICTE). The proposed system is a web-based assistive portal that leverages artificial intelligence and data modeling techniques to guide stakeholders through various stages of the approval process. Key features include a chatbot interface for interactive assistance, document analysis tools, multilingual support, and rule-based validation mechanisms. By integrating these technologies, the portal reduces human error, enhances accessibility, and ensures regulatory compliance, thereby improving efficiency and transparency in the approval workflow. This solution is especially valuable for educational institutions, administrators, and policy implementers navigating the often convoluted and document-heavy approval procedures.

Zenodo (CERN European Organization for Nuclear Research)
Sant Gadge Baba Amravati University (IN)
Quality Education
Openalex Percentile: Top 76%
AI in Service Interactions
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