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@article{191758,
        author = {Ganeshi Uday and Nese Purushotham and Malekar Vinay and Kuruva Madhu and T K Srujana and Dr C V Madhusudhan Reddy},
        title = {AI-Enhanced Absentee Calling and Response Collection Infrastructure},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {7739-7743},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191758},
        abstract = {Recent advances in automation and conversational AI have enabled educational institutions to transform attendance management and parent communication. This project presents an AI-Enhanced Absentee Calling and Response Collection Infrastructure that automates absentee notification and collects parent responses via voice calls. The system reduces manual communication overhead, increases response fidelity by capturing spoken reasons for absence, and provides administrators with an auditable transcripted log of parent replies.  
Teachers use a secure web interface to record attendance and mark absentees. When absences are submitted, an automated workflow orchestrated by n8n triggers both SMS notifications and an AI-powered voice agent that places calls to parents using a telephony API (e.g., Twilio Voice). During the call the voice agent asks preconfigured questions (e.g., reason for absence, expected return date); parent responses are captured with speech-to-text transcription services and validated. The workflow updates attendance and response records in Google Sheets, logging timestamps, call status, and transcribed answers for administrative review. 
This infrastructure is suitable for schools, colleges, and coaching centers seeking real-time, two-way parent engagement at scale. The modular architecture supports extensions such as multilingual voice prompts, analytics dashboards for trend analysis, integration with student health or counseling systems, and migration to more robust cloud databases for high-volume deployments. By combining workflow automation, telephony APIs, and AI transcription, the solution delivers a reliable, modern, and auditable absentee management system.},
        keywords = {Voice-Based Communication, Workflow Automation, Attendance Automation, Conversational AI, Educational Technology, Speech-to-Text, Cloud Systems},
        month = {January},
        }