International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 05 | May 2025
p-ISSN: 2395-0072
www.irjet.net
AIClerk: A Multi-Agent Emotion-Aware and Personalized Smart Office Assistant with WhatsApp Integration and Automated Academic Workflow Handling Sayed Mohd Zayeem Khateeb, Javeed Jatagar, Sudeep Kabadagi, Sachin Pattar, Prof. Shradha H Sayed Mohd Zayeem Khateeb, Student, Dept. of AI & DS, Angadi Institute of Technology and Management, Belagavi, Karnataka, India Javeed Jatagar, Student, Dept. of AI & DS, Angadi Institute of Technology and Management, Belagavi, Karnataka, India Sudeep Kabadagi, Student, Dept. of AI & DS, Angadi Institute of Technology and Management, Belagavi, Karnataka, India Sachin Pattar, Student, Dept. of AI & DS, Angadi Institute of Technology and Management, Belagavi, Karnataka, India Prof. Shradha H, Assistant Professor, Dept. of AI & DS, Angadi Institute of Technology and Management, Belagavi, Karnataka, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract - The increasing demand for automation and intelligent assistance in academic and professional environments calls for AI systems that are not only functional but also emotionally intelligent, personalized, and real-time accessible. This paper presents AIClerk, a smart office assistant designed using a multi-agent architecture that combines natural language understanding, emotion detection, task planning, memory-driven personalization, and WhatsApp integration. The proposed system accepts input via text, voice, or WhatsApp and processes it using advanced NLP techniques. It detects user emotions using a transformer-based model and adjusts task responses accordingly. A memory module personalizes task execution based on user history, while an auto-correction system ensures task reliability. Additionally, AIClerk introduces an innovative solution for academic institutions — a QR-based exam fee tracking and department notification system that automatically processes student fee submissions via screenshot uploads. With real-world usability and deep AI integration, AIClerk offers a unique, scalable, and human-like AI assistant for academic and administrative environments.
communication flexibility, which are essential for handling dynamic and human-centric workflows.
Key Words: Artificial Intelligence, Smart Office Assistant, Emotion Detection, Multi-Agent System, Natural Language Processing, Task Automation, WhatsApp Integration, Personalized AI, Academic Workflow, AIClerk
Furthermore, AIClerk incorporates a WhatsApp-based interaction layer that makes it accessible to users on mobile devices without needing a separate app. This increases usability and ensures that essential tasks and alerts are delivered in real time, where users are most active.
1.INTRODUCTION
This paper outlines the design, implementation, and deployment of AIClerk, highlighting its modular architecture, technical components, and potential real-world applications in academic institutions and beyond.
To address these limitations, we propose AIClerk — a smart office assistant built on a multi-agent architecture that leverages Natural Language Processing (NLP), emotion recognition, memory-driven personalization, and real-time messaging integration. AIClerk not only interprets natural language instructions but also adjusts task behavior based on user mood, past habits, and execution context. By integrating modern AI techniques with practical task automation, the system creates a responsive and human-like interaction experience. A key innovation in this project is the inclusion of academic workflow automation, specifically a feature that allows students to upload proof of exam fee payment (with UTR and screenshot) via the interface. The system then automatically detects the student’s identity and informs the respective department — reducing administrative overhead and manual verification tasks in colleges.
The increasing reliance on digital systems in academic and organizational environments has created a strong demand for intelligent, reliable, and user-friendly automation tools. Traditional office assistants and task managers often rely on rule-based logic with minimal adaptability or personalization. Moreover, most of these systems lack emotional sensitivity, contextual awareness, and real-time
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1.1 Background and Motivation In recent years, the integration of artificial intelligence into office and academic workflows has become increasingly vital for enhancing productivity, reducing repetitive tasks,
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